Lead Data Scientist Salary in India - PayScale

Data Science Senior AdvisorData Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.Join us as a Data Science Senior Advisor in our Data Science team in Bangaloreto do the best work of your career and make a profound social impact.What you'll achieveAs a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Solve business and customer issues utilizing AI/MLBuild prototypes and scalable AI/ML solutions that will be integrated into software productsCollaborate with software engineers, business stakeholders and product owners in an Agile environmentHave complete ownership of model outcomes and drive continuous improvementTake the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 8+ years' experience in a related role or equivalent skill/education; must include deep knowledge of data science principles.Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deploymentAbility to work with internal stakeholders to transfer business questions into quantitative problem statementsAbility to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plusExperience with Big Data technologies and/or software development is a plusDesirable RequirementsMasters or PhD in a quantitative discipline.Ability to act as a coach to the team and strong product/technology/industry knowledgeWho we areWe believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.Application closing date: 8 April 2024Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .Job ID:R240914Dell's Flexible & Hybrid Work CultureAt Dell Technologies, we believe our best work is done when flexibility is offered.We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.Salary: . Date posted: 03/28/2024 02:10 AM

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.

NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward:thinking organization, apply now.We are currently seeking a ((Data Lead)) to join our team in ((Hyderabad)), ((Telangana)), ((India)).8+ years' experience as a SAP consultant, ideally with Finance or Logistic functional background orABAP knowledge (techno:functional).Should have experience of at least 1 end:to:end SAP s4 Hana implementation / Rollouts.Good knowledge in data migration tools such as LTMC, LSMW, batch input with understanding of underlying SAP data models and SAP Objects dependency. Analyzing legacy data, quality check of submitted load files, testing load quality, leading user testing and acceptance of load process, providing input into specifications for automated data migration transformation rules, analysis and identification of duplicate records and other activities required for successful and on time data migration.Building,testing, executing and managing data migrations utilizing tools such as S/4 HANA migration cockpit(LTMC), SAP LSWM and integration technologies such as IDOCs and BAPIs / FM's experience across the SAP functional areas such as Finance and Logistic data analysis and reconciliation ,implementing an S4/HANA environment.Work closely with Data Migration team to document data migration requirements, on project planning and load scheduling, testing and troubleshooting, and issue resolution.Work closely with Business Lead on schedules and overall deployment support to sites, and with other workstreams on overall data migration and cutover plans.Work closely with Master Data team to ensure master data is ready to support data loads.About NTT DATA ServicesNTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a 30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge:to:cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long:term success. Visit nttdata or LinkedIn to learn more.NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

Relocation Assistance Offered Within Country159391 : Mumbai, Maharashtra, IndiaWho We AreColgate:Palmolive Company is a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom's of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Pet Nutrition.We are recognized for our leadership and innovation in promoting sustainability and community wellbeing, including our achievements in decreasing plastic waste and promoting recyclability, saving water, conserving natural resources and improving children's oral health.If you want to work for a company that lives by their values, then give your career a reason to smile and join our global teamAbout UsWould you like to be part of a team that is building a future to smile about? What about having the opportunity to collaborate with teams across the world, full of stimulating discussions, and making impactful contributions?If this is how you see your career, Colgate is the place to beOur dependable household brands, dedicated employees, and sustainability commitments make us passionate about building a future to smile about for our employees, consumers, and surrounding communities. We, at Colgate, take immense pride in our brand which fuels our workplace to encourage innovative thinking, champion experimentation, promote authenticity and thus contribute to our enduring success.If you want to work for a company that lives by their values, then give your career a reason to smile...every single day What is the purpose of this role?This role is expected strong expertise in data science and machine learning through leading data collection and mining, data analysis, data visualizations, and predictive/prescriptive modeling efforts to build, test, and maintain analytics solutions which meet key business needs. This role will work with an analytics translator, other data scientists, and key business partners to define the business problem in a way that can be solved analytically.Why is this exciting?You will lead the development of efficient and accurate analytical models (ranging from descriptive to prescriptive) and incorporate them into data products or tools which meaningfully make an impact on the business. So, if you are an experienced Data Scientist passionate about collaborating with cross:functional teams, tackling real:world problems through testing and learning, have an intellectual curiosity to understand and answer questions using data, and are seeking a work environment that fuels learning, all while making a significant impact in oral care, we strongly encourage you .What would be the responsibilities for this role?:Lead multifaceted analytic studies against large and small volumes of data for a variety of problems including projections, classifications, clustering, pattern analysis, simulations and more with junior data scientists:Co:develop an analytics roadmap for the business domain to which you are assigned:Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends, anomalies, and quantify business results:Integrate data science work into user:facing applications and tools with data engineers, business leads, analysts and developers:Build, deploy, maintain, and refresh end:to:end, repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products:Identify and/or create new data as needed for use cases with limited data:Work with data engineers to clean, mass

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

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