Data Scientist Salary in India - PayScale

The Role DESCRIPTION Markets across world, supporting custom wide features for the emerging markets (Middle East, Australia, Singapore, Turkey, Brazil to name few) and creating new features to enable cross country product selection, purchase and fulfilment features to enable Amazon exports in the world. The team takes care of technology business needs of these markets end to end and key functions range across marketing, pricing, Delivery Experience, Customer Experience, finance of these marketplaces. AEE is looking for an Data Scientist who will build ML capabilities in the MENA and other emerging markets. Currently the team is working on wide range of ML problems starting from predicting Customer lifetime churn and Prime Subscription churn, forecasting best pricing to offer new selection, profitability programs like MOQ (minimum ordered quantity), price elasticity. Team is also building delivery experience related models to solve the unstructured address data problems in MENA and other geographies and score these addresses for quality. An ideal candidate will be an expert in the areas of optimization, machine learning and statistics, with expertise in applying theoretical models in an applied environment. The candidate will be expected to work on numerous aspects of Machine Learning such as feature engineering, predictive modelling, probabilistic modelling, hyper-parameter tuning, scalable inference methods and latent variable models including transfer learning. Challenges will involve dealing with very large data sets and requirements on throughput. Researching, designing, implementing, testing, deploying, and maintain innovative models and machine learning solutions to accelerate our business and customize the customer experience. Creating experiments and prototype implementations of new learning algorithms and prediction techniques Participate in team design, scoping and prioritization discussions Use machine learning best practices to ensure a high standard of quality for all of the team deliverable Requirements BASIC QUALIFICATIONS Bachelors in Computer Science, Machine Learning, Operations Research, Statistics or a related quantitative field with 5+ years of hands-on experience or Masters in Computer Science, Machine Learning, Operations Research, Statistics or a related quantitative field with 3+ years of hands-on experience 3+ years of hands-on experience in Python, Perl, Scala, Java, C#, C++ or other similar languages Proficiency in model development, model validation and model implementation for large-scale applications Ability to convey mathematical results to non-science stakeholders Strength in clarifying and formalizing complex problems Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts PREFERRED QUALIFICATIONS Work experience in predictive modelling and analysis Strong fundamentals in problem solving, algorithm design and complexity analysis Strong personal interest in learning, researching, and creating new technologies with high commercial impact Proven track in leading, mentoring and growing teams of scientists About the company Amazon.ae, formerly Souq.com, is an English-Arabic language e-commerce platform, owned by Amazon, Inc. It is the largest e-commerce platform in the Arab world. On March 28, 2017, Amazon.com Inc. confirmed it would be acquiring Souq.com for $580 million. On May 1, 2019, Souq.com became known as Amazon.ae.

DESCRIPTIONAmazon Web Services (AWS) provides a highly reliable, scalable, and low-cost cloud platform that powers thousands of businesses in over 190 countries. AWS’ Infrastructure Services Supply Chain (AIS-SC) organization works to deliver cutting-edge solutions to source, build and maintain our socially responsible data center supply chains. We are a team of highly-motivated, engaged, and responsive professionals who enable the core sustainable infrastructure of AWS. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! Do you love problem solving? Are you looking for real world Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing?Amazon Web Services is looking for a highly motivated, Data Scientist to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers, Business Intelligence Engineers and Business Analysts to achieve our goals. We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision-making problems, with data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.Responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard time Series Forecasting techniques like ARIMA, ARIMAX, Holt Winter and formulate ensemble model. - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering, Principle Component Analysis, Market Basket analysis). - Experience in solving optimization problems like inventory and network optimization . Should have hands on experience in Linear Programming. - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management. - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive. - Detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion. - Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customersWe are open to hiring candidates to work out of one of the following locations:Bengaluru, KA, INDBASIC QUALIFICATIONS- 5+ years of data scientist experience- 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environmentPREFERRED QUALIFICATIONS- Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology company

We are looking for a "Data Scientist"for one of our esteemed Clients forBangalore ,India Location.Job Requirement:Understand problem statement/product requirement.Work with Data Engineers to get required data.Analyse the data and identify statistical/machine learning models.Build POCs to demonstrate success/failure of the hypotheses.Post that, work with ML and Data Engineers to implement your models on existing production systems and big data platform.Must Have:Qualification : Masters or Ph.D. in Statistics, Math, CompSci, Econ, Physics, Engineering or related scientific disciplines;preferably from a premier scientific institute like ISI or IISC.Work experience :At least 4 years in Tech, with 2 years as a Data Scientist or equivalent position.Statistical knowledge : Proven experience in statistical methods like Markov Models, Stochastic models, Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models.Machine Learning: Prior work experience in one or more of these knowledge areas (domain agnostic): Price Modelling, Demand Forecasting, Recommender Systems, User Profiling, Fraud Detectors.Technologies : Proficiency in Python (must have) and any other prog. language; Specific libraries may include : TensorFlow, Keras, Torch, Caffe, Theano, etc;Experience with Kaggle is a bonus.

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.Founded in Baltimore, MD in 1889 in a room and a cellar by 25:year:old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than 6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia:Pacific, China, Europe, Middle East and Africa, and the Americas.At McCormick, we have over a 100:year legacy based on our "Power of People" principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values.Position Overview:Reporting to the AI, Automation, and Data Science Senior Manager, the AI/ML/Data Scientist is responsible for utilizing advanced analytics, machine learning, and automation techniques to extract actionable insights from diverse datasets. The incumbent should possess a robust understanding of key AI/ML concepts and combine expertise in data, computational science, and technology with MKC consumer:oriented business knowledge to drive high:value insights into the organization and steer strategic growth initiatives.Key Responsibilities::Mine and analyze data from enterprise databases using statistics, machine learning, and analytic approaches to drive optimization and operational improvements.:Collaborate with functions, functional solution leads, and strategic solution build teams to deploy scalable AI/ML:infused applications.:Choose appropriate algorithms based on the problem nature, data structure, and desired outcomes.:Train ML models using historical data and assess their performance against predefined metrics.:Continuously optimize and fine:tune models for improved accuracy and efficiency.Experience::Proficiency in Automation Tools and Frameworks:Strong programming, testing, and QA skills:Experience in Data Analytics:Technical knowledge of data environments, transformation, models, and queries:Experience in partnering across different regions and functions:Familiarity with working in diverse cultural settingsQualifications::Bachelors degree in Supply Chain, Computer Science, Data, Finance, or a relevant field.:Strong communication and diplomacy skills.:Strong analytical decision:making and direction:setting abilities.:Ability to manage ambiguity and translate strategy into actionable information.:Flexibility to manage concurrent priorities.:Strong problem:solving skills, including leading others in problem:solving and root cause analysis.:Knowledge of emerging technologies and innovation.:Fluency in English is required.Agencies: McCormick as needed will work with external recruitment vendors through our Agency Portal. Unless previously contacted, McCormick does not accept unsolicited resumes from external recruiting agencies.McCormick and Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Senior Data Scientist, Care and CXIndia, remoteWho We Are:Vista's Tech and Data organization is working to make our company one of the world's most well:known and successful tech: and data:driven companies. The cross:functional team includes product managers, engineering leads, analysts, data scientists, software and data engineers and more : all passionate about providing Vista with information and solutions we can use to deliver jaw:dropping customer value.Along with our partners, we are embarking on an exciting adventure to upgrade our customer experience with best practice product management, advanced analytics, and tech solutions. Vista is a leader in custom design, professional marketing, and mass customization of printed and Digital products and offers phenomenal customer and design service but there is still tremendous opportunity to enrich our service interactions and enable our teams with innovative analytics tools and relevant insights to provide the best possible service and fuel growth. To get there, we will need a results:oriented and passionate advocate for innovative data science solutions in the Customer Experience Domain.What You Will Do::Be integral part of the team that builds scalable, self:serve data products and supports the whole Vista with customer experience insights.:Utilize diverse data sources, including text feedback, website behavior and shopping behavior data to provide a rounded view of the customer experience.:Leverage Generative AI models to summarize wealth of unstructured data into easy to access insights.:Collaborate with lead data scientist on improving existing models and adapting them to new business problems and new data sources.:Support team on an exciting journey of innovation and impact, leading the development and application of state:of:the:art data science models to tackle strategic and transformative challenges for Vista. :Embrace the opportunity to work with cutting:edge technologies and shape the future of data:driven solutions in a dynamic and collaborative environment.:Engage with business partners to collaborate around analytical project requirements, define success metrics, explain methodologies and results, and negotiate deliverables.:Bring new ideas to the table; take your idea and turn it into a full:fledged data product with the support of the broader Vista Tech and data team.:Contribute to a roadmap making customer experience data products a core capability at Vista.:Keep yourself up to date with the latest developments in the area of AI to help the team stay innovative and impactful. :Mentor and train junior data scientists and analysts.Your Qualifications::Degree inComputer Science, Math/Statisticsor another related field:3+ years ofData Science models development experience:Excellent programming skills inSQL, Spark and Python:Good understanding of key data science models and algorithms along with a comprehensive projects' portfolio:Entrepreneurial mindset and experience launching new data products:Strength in clarifying and formalizing complex problemsNice to have::Good knowledge of data visualization theory and tools (e.g. Tableau, Looker):Relevant work experience in an agile eCommerce environment:Comfortable working in a cross:functional team to "productionize" your work:Experience in GenAI (mainly LLM) and NLP overall:Experience with MLOpsWhy You'll Love Working Here:We strive to give you everything you need to learn, grow, and succeed and take a step forward in your learning journey : and your life. Through constant learning, collaboration, and perpetual exposure to what's next, we're always pushing boundaries and broadening our horizons.At Vista, we put great importance into the wellbeing of our employees, which is why we offer perks

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.Founded in Baltimore, MD in 1889 in a room and a cellar by 25:year:old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than 6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia:Pacific, China, Europe, Middle East and Africa, and the Americas.At McCormick, we have over a 100:year legacy based on our "Power of People" principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical valuesPOSITION OVERVIEW:This Data Scientist will be responsible for providing leadership and subject matter expertise in the application of advanced analytics to solve business problems. The role requires a deep understanding of the processing, analyzing and modeling of structured and unstructured data, combined with the ability to interpret results and make recommendations to business stakeholders to shape strategies for our business units globally. The candidate needs to be able to establish credibility in a wide variety of business partners by providing consulting (advisory) services as well as high quality execution across multiple priorities, in a fast:paced environment.RESPONSIBILITIES::Leverage data mining and analytical skills to provide advanced analytic solutions to solve business problems and bring new insights to the business.:Develop and deploy statistical models in the areas of forecasting, marketing mix, segmentation and consumer/market insights.:Build, interpret and report on large data sets with structured and unstructured data:Continuously seek out industry best practice and skills development to create new capabilities for data analytics at McCormickREQUIRED QUALIFICATIONS::Bachelor's or Master's degree in Mathematics, Statistics, Engineering or Data Analytics/Science:Demonstrated skills and results in analyzing complex datasets, generating insights and building robust statistical models; at least 8 years experience preferred:Demonstrated sound understanding of concepts, principles and practices in Marketing and Sales and a working knowledge of practices in other areas including Finance and Supply Chain.:Demonstrated ability to connect the dots between complex data/analytics and business understanding:Expertise in SQL, coding in one or more languages (R preferred):Experience with data visualization software (Power BI preferred):Comfortable working with structured and unstructured data sources, including syndicated data, SAP:Strong technical curiosity and passion for problem solving and innovation :Strong global cross:functional leadership, communication and teamwork skills:Ability to manage multiple priorities simultaneously and foresee and address issues before they become significant obstacles:Ability to travel occasionally as needed (0:5)PREFERRED QUALIFICATIONS::8+ years experience in CPG industry:Experience in marketing mix analysis and deployment to businessMcCormick and Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, d

About usAt ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net:zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower:emissions technologies.We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together.What role you will play in our teamWe are looking to hire candidates to work on challenging engineering, geological and commercial problems that focus on exploration, development, production, marketing and transportation of hydrocarbons. A successful candidate would understand a problem in oil and gas space (both commercially/economically and technically), be able to formulate the problem in a solvable way, using application of engineering, numerical, data science and programming skills to tackle a range of problems in the oil and gas industryWhat you will do:Work with data scientists, computational scientists, engineers, software developers, and geoscientists across the globe to develop, deliver and apply computational tools, models, or software to support our business.:Use machine learning, pattern recognition, deep learning, statistical analysis and data visualizations : along with domain knowledge and subject:specific models (eg. physics:based) : to solve science, engineering, commercial problems and provide business insights.Design, build, and execute studies using proprietary or commercial tools to provide insights including calibrating models to field data and providing field optimization recommendations.About YouSkills and Qualifications:Bachelors degree from a recognized university in one of the following disciplines: Chemical Engineering, Mechanical Engineering or related disciplines with minimum GPA 7.0 (out of 10.0) and above:Minimum 3 years of work experience in developing, applying, and validating data:driven tools to model complex systems.:In:depth knowledge and practical experience in applying statistical analysis techniques, such as classification, regression, time:series, Bayesian techniques, etc. and machine learning techniques, such as decision:trees, ensemble methods, deep learning, neural networks, validation methods etc.:Practical experience in the full machine learning life cycle from problem formulation, data acquisition, modeling building, and deployment at enterprise scale.:Specialization in at least one of the sub:domains e.g. Natural Language Processing (NLP), Computer Vision, Time series forecasting, PINN's, causality analysis.:Experience in Python and R and related packages such as numpy, pandas, sklearn, Keras, Tensorflow, PyTorch:Experience with software engineering practices, agile methodologies, DevOps, version control:Experience working in Azure Databricks or any other data science frameworks:Software testing and development practices (Agile)Preferred Qualifications / Experience:Experience in developing, applying, and analyzing physics:based or data driven computational models and simulations is an advantage:Prior knowledge of commercial software development and/or experience in commercial software teams:Experience of identifying and scoping data science opportunities based on business needs is an advantage:Strong communication and interpersonal skillsYour benefitsAn ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and profession

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software EngineeringJob Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Salesforce is seeking a Data Scientist for our Global Success Business Intelligence (GSBI) Team to create the next generation of analytics solutions for multiple business domains such as Success, Support, Operations & Education. You will work on machine learning and statistical algorithms across multiple platforms to harness insights from data, and thus enable leadership to make data driven decisions. We are open to hiring candidates to work out of one of the following locations: Hyderabad, TG, IND Bangalore, KA, IND Roles & Responsibilities Responsible for the development and maintenance of end-to-end ML process, including requirement gathering, model development, testing and smooth deployment across various environments. Deliver actionable insights to stakeholders informed by robust statistical analysis. Driving effective communication and collaboration with cross-functional teams, fostering a cohesive working environment. Leverage emerging technologies and identify efficient and meaningful ways to drive innovation for Salesforce. Ability to work in a diverse team or with a diverse range of coworkers across various time-zones Qualifications required: 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience Proven ability to solve business problems through structured thought process Knowledge of data querying languages (e.g. SQL), scripting languages (e.g. Python) and statistical/mathematical software (e.g. Jupyter, PyCharm, R, SAS, etc.) experience is a must Experience with basic & advanced machine learning techniques such as: linear & logistic regression, SVM, time series (ARIMA etc.) and Tree based models is a must. Proficiency in Natural Language Processing techniques will be given preference 2+ years of experience of working on at least one out of various available clouds such as AWS, Azure, GCP, DataIKU etc. Familiarity with Git, Airflow, Docker-Containers, AWS Sagemaker, MLOps will be a plus Experience in creating data visualizations on at least one UI platform such as Tableau, PowerBI, Excel etc. Excellent written and verbal communication skills. Experience on LLMs will be a plus. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .Posting Statement At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com . Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . Salesforce welcomes all.Salary: . Date posted: 04/15/2024 03:16 PM

What's in it for you? Join an award-winning culture. We have been recognized for being a Great Place to Work, in addition to being selected as a FORTUNE Global 500 Company, Best Workplaces Retail & Hospitality, and FORTUNE World's Most Admired Companies. The opportunities with us are endless. As the world's largest food and support services company, we offer an extensive range of learning and career opportunities for all our associates. Health & Safety. The health and safety of our associates, clients and guests has always been our top priority. We have the right processes in place to ensure our teams have the support they need to stay safe, while helping to keep our guests safe. Health Benefits. For our eligible associates, we offer comprehensive health, vision, and dental care coverage. A Focus on Mental Health and Wellness. just now is our Mental Health and Well-Being initiative that was created to share credible resources with our associates and the communities we serve on a variety of topics, including mental, physical, spiritual, and financial wellbeing. Visit our Stronger Together Compass website at www.strongertogethercompass.com . We also have an Employment Assistance Program which provides our associates with access to 24/7 support, resources, and information. We are as diverse as our guests. We believe diverse and inclusive environments support innovation and collaboration, and benefit our associates, clients, and customers. We are committed to Listen, Learn, and Act and our Diversity Inclusion Action Councils (DIAC) are associate led groups that seek to foster inclusion through cultural awareness, engagement and appreciation of diversity. We are Stronger, Together! You might not know our name, but you know where we are. That's because Compass Group Canada is part of a global foodservice and support services company that's the 6th largest employer in the world, with 625,000 employees.You'll find us in schools, colleges, hospitals, office buildings, senior living communities, tourist attractions, sports venues, remote camps and military installations and more. We're in all major cities, at remote work sites and everywhere in between - doing business in Canada and 50+ other countries where you can learn and grow. Join us now and point your career forward!Why work with Compass Digital? We are a member of Compass Group North America the leading foodservice and support services company. We create remarkable customer experiences through the innovative design and development of technology products and services. Compass Digital began as an innovation startup and the team has since rapidly grown and now supports technology and innovation across all of North America. Compass digital is comprised of user experience designers, developers, data scientists, project managers, business analysts, marketers and technology implementation managers, all of whom look at the world from a human perspective to rethink what's possible in the areas of technology innovation and consumer engagement within the foodservice and hospitality industries. Join us.Job SummaryAt Compass Digital, our mission is to create extraordinary experiences at the intersection of hospitality and technology. The Compass Digital Decision Science team is seeking an experienced and highly skilled Senior Data Scientist to join our team and drive the development of cutting-edge AI/ML solutions to help our partners make smarter business decisions. The successful candidate will:Now, if you were to come onboard as our Senior Data Scientist, we'd ask you to do the following for us:• Lead the end-to-end development and deployment of scalable machine learning and AI pipelines, from data collection and preprocessing to model training and deployment.• Collaborate with cross-functional teams to identify business needs and develop innovative data-driven solutions that drive measurable impact.• Conduct comprehensive analysis to extract actionable insights and provide strategic recommendations for business optimization and growth.• Design and implement robust data infrastructure, following governance practices around data integrity and security.• Mentor and provide guidance to data scientists, fostering a collaborative environment for knowledge sharing and skill development.• Stay updated with industry trends, emerging technologies, and best practices in machine learning, AI, LLMS, and data science.Think you have what it takes to be our Senior Data Scientist? We're committed to hiring the best talent for the role. Here's how we'll know you'll be successful in the role:• 5 years of hands-on experience in designing and implementing machine learning and AI pipelines in a commercial environment• Experience with cloud-based data platforms (AWS, GCP preferred) and related services (Airflow, Sagemaker, Vertex AI)• Proficiency with Python libraries like TensorFlow, PyTorch, scikit-learn• Advanced to expert knowledge of SQL• Proven track record of delivering successful data-driven solutions that have driven tangible business outcomes• Experience in handling and analyzing large-scale structured and unstructured datasets.• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders• Master's or Ph.D. in STEM or related field• Knowledge of software development practices and version control systems• Experience leveraging LLMs to build or improve data models and pipelines• BI Development experience with Power BI, Looker or similarCompass Group Canada is committed to nurturing a diverse workforce representative of the communities within which we operate. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.For accommodation requests during the hiring process, please contact [email protected] for further information.Salary: . Date posted: 04/18/2024 04:12 PM

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software EngineeringJob Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good- you've come to the right place. Role Description We are seeking a talented and motivated Data Scientist with experience deploying, monitoring, and maintaining predictive models to join our dynamic Cloud Economics and Capacity Management team. In this role, you will collaborate with internal stakeholders to understand their requirements, design innovative time series forecasting solutions, and contribute to the development, release, and maintenance of time series forecasting models. As a technical lead within our team, you will have the unique opportunity to directly impact the efficiency of Salesforce's global infrastructure. Your Impact As a Data Scientist, you will be partnering with the Product, Sales, Customer Success, Infrastructure, and Engineering teams embedded in the Cloud businesses, as well as functional leaders who provide data and analytical infrastructure, identify and execute initiatives that benefit the whole Di and multiple Cloud businesses. The successful candidate will need to: * Partner with Senior Leadership (VP+) to understand their business and advise on strategic objectives, product direction, roadmaps, growth goals and retention strategies; as a Senior Analyst/ Data Scientist you will develop and own the relationships with senior stakeholders * Technical Excellence: Own the complete cycle of translating ideas from concept to production-grade data science solutions, ensuring scalability and robustness. * Leadership: Provide leadership and mentorship to the data science team, fostering a culture of excellence, innovation, and collaboration, all aimed at driving tangible business outcomes. * Data Science Modeling: Develop and implement advanced data analysis, predictive and prescriptive modeling techniques to extract insights and support data-driven decision-making across the organization. * Produce insights (e.g. performance drivers, retention analysis, behavioral personas) to accelerate business growth; this requires acquiring and cleaning data from multiple sources, structuring and building data models, analyzing to generate insights, and distributing them * Partner with the data engineering team and product engineering team to instrument, acquire, develop and structure data assets that are critical to measuring the success of our products * Own the delivery by working with data engineers and business intelligence engineers to turn insights into data products (e.g. data pipelines, algorithms, self-service dashboards) * Research, develop and implement automated algorithm deployment pipelines and processes * Evangelize and distribute data products that drive action or product improvement * Contribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and autonomously improving team processes Required Skills: 5+ years of experience in product analytics or data science. Practical project experience in advanced data analysis, statistical modeling, and machine learning concepts is essential. * Analytical thinker with a passion for using data and scientific methods to solve business problems * Proficient with common analytical programming languages e.g. Python; expert in SQL. Experience with writing production-ready code in Python and automation. Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL and Spark. Experience tools like R, git, mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus. * Technical Expertise: Strong proficiency in core Data Science, Machine Learning and Statistical modeling. In-depth experience in techniques from time-series forecasting and/or causal inference. Experience with Experiment Design, Natural Language Processing, Neural Network architectures, Recommendation Systems, and Large Language Models is highly desirable. * Expert in end to end data development, including data model design, quality review, deployment and maintenance * Experienced in developing and deploying data science models, especially in the Cloud environment * Passionate about automating data that directly solving business problem * Charismatic storyteller ready to lead growth conversations with senior leadership * Lover of building relationships and collaborating in a cross-disciplinary environment. * A related technical degree BENEFITS & PERKS Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more! World-class enablement and on-demand training with Trailhead.com Exposure to executive thought leaders and regular 1:1 coaching with leadership Volunteer opportunities and participation in our 1:1:1 model for giving back to the community For more details, visit https://www.salesforcebenefits.com/ Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .Posting Statement At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com . Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . Salesforce welcomes all.Salary: . Date posted: 04/18/2024 03:17 PM