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.

Scientist-B Job Vacancy Recruitment in Central Silk Board 2024Central Silk Board (CSB) Headquartered at Bangalore invites online application in the prescribed format for recruitment of following 122 Government Job vacancies of Scientist-B (Pre Cocoon Sector) in various subjects/disciplines in the Central Silk Board through NTA ICAR (Ph.D.) AICE - JRF/SRF - 2024 examination for the year 2024. (Advertisement No. CSB/01/2024) SarkariNaukriBlog  (adsbygoogle = window.adsbygoogle || []).push({});Silk Board Scientist-B Recruitment 2024 VacanciesScientist-B (Pre-Cocoon Sector): 122 vacancies (UR-50, EWS-12, OBC-31, SC-20, ST-09) in various disciplines, Pay Level: Pay Level-10 ₹56100-177500, Age : 35 years, Qualification: Master's degree in Science or Master's degree in Agricultural Sciences from a recognised university. The candidates should have appeared in NTA ICAR (Ph.D.) JRF/SRF-2024 in the specified subjects mentioned in the advertisement. (adsbygoogle = window.adsbygoogle || []).push({});Application FeeCandidates are required to pay an application fee of ₹1000/-. No fee to be paid by SC/ST/PWD/Female candidates. How to Apply for Scientist-B Recruitment in Silk Board 2024?The suitable and interested candidates should appear for NTA ICAR AICE - (Ph.D.) JRF/SRF-2024 and should fill the applications online on prescribed format at CSB website on or before the last date which will be announced later on only for Central Silk Board Scientist-B vacancy Recruitment 2024. View - All Latest Scientist Government JobsSelection ProcedureThe candidates should have appeared in NTA ICAR AICE - (Ph.D.) JRF/SRF-2024 in the specified subjects mentioned in the advertisement. Details and application formatSuitable and desirable candidates should visit http://csb.gov.in/job-opportunities/job/ for further details and Online application format for Central Silk Board Scientist-B vacancy Recruitment 2024.  (adsbygoogle = window.adsbygoogle || []).push({}); { "@context": "https://schema.org/", "@type": "JobPosting", "title": "Scientist-B Vacancy Recruitment in Silk Board 2024", "description": "Central Silk Board (CSB) Headquartered at Bangalore invites online application in the prescribed format for recruitment of Government Job vacancies of Scientist-B (Pre Cocoon Sector) in various subjects/disciplines in the Central Silk Board through NTA ICAR (Ph.D.) JRF/SRF - 2024 examination. To know more detail please click on the above blue Button \"Apply On SarkariNaukriBlog.com\".", "identifier": { "@type": "PropertyValue", "name": "SarkariNaukriBlog", "value": "CSB/01/2024" }, "datePosted": "2024-02-24T10:30", "validThrough": "2024-12-31T23:59", "employmentType": "Full_Time", "hiringOrganization": { "@type": "Organization", "name": "Central Silk Board (CSB)", "sameAs": "http://csb.gov.in", "logo": "https://2.bp.blogspot.com/-g58_HqckRQc/TjLoZEf51XI/AAAAAAAADBE/v1ibO0q_kiM/s1600/Silk-Board-Logo.png" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "streetAddress": "CSB Complex, B.T.M. Layout", "addressLocality": "Madivala Bangalore", "addressRegion": "Karnataka", "postalCode": "560058", "addressCountry": "India" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "INR", "value": { "@type": "QuantitativeValue", "value": 85000, "unitText": "MONTH" } }} Compiled by Sarkari-Naukrifor blog https://www.sarkarinaukriblog.com/for providing Government Jobs available in India. .  Other Blogs are https://www.HindiDiary.com and Friendly blog is https://www.rojgarjob.com At Facebook at https://www.facebook.com/SarkariNaukriBlogSpot and Twitter at https://twitter.com/sarkarijob (@SarkariJob)

DESCRIPTIONDo you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced ML systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for India Consumer Businesses.Machine Learning, Big Data and related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ecommerce fraud detection and large-scale optimization of fulfillment center operations. As Amazon has rapidly grown and diversified, the opportunity for applying machine learning has exploded. We have a very broad collection of practical problems where machine learning systems can dramatically improve the customer experience, reduce cost, and drive speed and automation. These include product bundle recommendations for millions of products, safeguarding financial transactions across by building the risk models, improving catalog quality via extracting product attribute values from structured/unstructured data for millions of products, enhancing address quality by powering customer suggestionsWe are developing state-of-the-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML.Key job responsibilitiesUse machine learning and analytical techniques to create scalable solutions for business problemsAnalyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processesDesign, develop, evaluate and deploy, innovative and highly scalable ML modelsWork closely with software engineering teams to drive real-time model implementationsWork closely with business partners to identify problems and propose machine learning solutionsEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenanceWork proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in productionLeading projects and mentoring other scientists, engineers in the use of ML techniquesAbout the teamInternational Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. Learn more about our team from https://www.amazon.science/working-at-amazon/how-rajeev-rastogis-machine-learning-team-in-india-develops-innovations-for-customers-worldwideWe are open to hiring candidates to work out of one of the following locations:Bengaluru, KA, INDBASIC QUALIFICATIONS- 5+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software development

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.

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

BASIC QUALIFICATIONS- 4+ years of building machine learning models for business application experience- PhD, or Master's degree and 5+ years of applied research experience- Knowledge of programming languages such as C/C++, Python, Java or Perl- Experience with neural deep learning methods and machine learningDESCRIPTIONAlexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries.A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.We are looking for a leader with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment. You should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders.You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.Key job responsibilitiesYou'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need.A day in the lifeYou will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.About the hiring groupAbout the teamThe mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- PhDSalary: . Date posted: 04/16/2024 10:19 PM

BASIC QUALIFICATIONS- 3+ years of building machine learning models or developing algorithms for business application experience- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related languageDESCRIPTIONAlexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries.An Applied Scientist will be working with a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.We are looking for a leader with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment. You should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders.You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.Key job responsibilitiesYou'll participate the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need.A day in the lifeYou will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.About the hiring groupAbout the teamThe mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDPREFERRED QUALIFICATIONS- Master's degree- 2+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experienceSalary: . Date posted: 04/16/2024 10:18 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