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analytical data scientist

Data Scientist, Product Analytics

<div>
 As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Engineer, Product Analytics Responsibilities:
 
 
 <ul>
 <li>
 Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
 </li>
 <li>
 Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
 </li>
 <li>
 Define and manage Service Level Agreements for all data sets in allocated areas of ownership
 </li>
 <li>
 Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
 </li>
 <li>
 Improve logging
 </li>
 <li>
 Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
 </li>
 <li>
 Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
 </li>
 <li>
 Influence product and cross-functional teams to identify data opportunities to drive impact
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
 </li>
 <li>
 2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
 </li>
 <li>
 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)
 </li>
 <li>
 Candidate must remain in role in the same team in India for a minimum period of 24 months before being eligible for transfer to another role, team or location
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Master's or Ph.D degree in a STEM field
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Data Engineer, Product Analytics

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 The Entity Content team collects, manages, and supplies content for various datasets across FCO. This content is used extensively across and beyond Refinitiv/LSEG and is a critical asset to a wide range of Refinitiv/LSEG products.
 
 
 The Content Specialists will be accountable for delivering on Key Projects related to Business Cases, database and supporting Data Strategy teams and will contribute to the delivery of the content roadmap to fulfil all business requirements.
 
 
 
 The role of the Data Scientist is to:
 
 
 
 Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.
 
 
 
 Essential Day-to-Day Responsibilities:
 
 
 
 <ul>
 <li>
 Data handling, data processing and programming
 </li>
 <li>
 Develop automated solutions for sourcing/loading Entity data into Database
 </li>
 <li>
 Analyze Legal entity content to establish patterns/trends
 </li>
 <li>
 Develop, improve and run quantitative models
 </li>
 <li>
 Generate solutions through machine learning for core processes
 </li>
 <li>
 Work with business, content and product groups for large-scale analytics problems
 </li>
 <li>
 Build POCs, visualizations and pipeline tools for product design and development
 </li>
 <li>
 Work with development groups for deployment of analytics solutions
 </li>
 <li>
 Interact with other internal teams as needed, with supervision.
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills:
 
 
 
 <ul>
 <li>
 Extensive experience using Python or R or equivalent
 </li>
 <li>
 Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter
 </li>
 <li>
 Solid relational database skills
 </li>
 <li>
 Solid understanding of statistics and statistical language such as R
 </li>
 <li>
 Ability to handle large quantities of data
 </li>
 <li>
 Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
 </li>
 <li>
 Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
 
 
 </li>
 </ul>
 At LSEG, we believe that creating a diverse and inclusive organization is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose &ndash; driving financial stability, empowering economies and enabling customers to create sustainable growth &ndash; in everything we do.
 
 
 Working with us means that you will be part of a dynamic organization of 25,000 people across 70 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Data Scientist

Albertsons Companies India

<div>
 
 
 About Albertsons Companies Inc. :
 
 
 
 As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.
 
 
 We build and shape technology solutions that solve customers&rsquo; problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.
 
 
 Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.
 
 
 
 
 
 
 About Albertsons Companies India:
 
 
 
 At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company&rsquo;s technology journey to support millions of customers&rsquo; lives every day.
 
 
 At the Albertsons Companies India, we are raising the bar to grow across Technology &amp; Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.
 
 
 
 
 
 
 Position Title: Advanced Data Scientist
 
 
 
 
 Job Description:
 
 
 
 
 Roles &amp; responsibilities:
 
 
 <ul>
 <li>
 Collaborate with business and product stakeholders and build production grade models and machine learning algorithms on large-scale datasets
 </li>
 <li>
 Enhance and apply end-to-end demand forecasting models to support various business decision making
 </li>
 <li>
 Optimize inventory policies to reduce supply chain waste and opportunity cost related to holding excess inventory by maximizing the productivity of inventory
 </li>
 <li>
 Identify key drivers for out of stocks and address them using Machine Learning and Mathematical Optimization techniques to maximize in stock conditions at stores to provide the best customer experience
 </li>
 <li>
 Apply machine learning and mathematical optimization to increase productivity in ecommerce fulfillment operations and deliver the most optimum user experience on ecommerce website and loyalty mobile app
 </li>
 <li>
 Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts
 </li>
 <li>
 Build models and algorithms to fuel growth initiatives for In Stock, Omni Channel, Digital and Merchandising
 </li>
 <li>
 Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
 </li>
 <li>
 Convey machine learning solutions with intuitive visualizations and effective communications
 </li>
 <li>
 Scale up prototypes and implement reliable automated production workflow for models
 </li>
 <li>
 Collaborate with software development engineers to integrate models
 </li>
 </ul>
 
 
 
 
 
 Experience Required:
 
 
 <ul>
 <li>
 Bachelors or master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related mathematically intensive fields such as Experimental Physics or Chemical Engineering
 </li>
 <li>
 3+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.
 </li>
 <li>
 Experience with any of the following business analytics practices is preferred:
 </li>
 <li>
 Supply chain analytics, including inventory optimization
 </li>
 <li>
 Time series forecasting for large-scale demand forecasting
 </li>
 <li>
 Ecommerce fulfillment operations, pick path optimization
 </li>
 <li>
 3+ years of experience and proficiency in SQL, Python and/or Spark-ML
 </li>
 <li>
 3+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.
 </li>
 <li>
 2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Databricks, Spark, Hadoop
 </li>
 <li>
 Ability to write production-level code in Python
 </li>
 <li>
 Experience with Snowflake, Azure Databricks is a strong plus
 </li>
 <li>
 Building Recommendation/ personalization systems or foundational systems on apps &amp; websites.
 </li>
 </ul>
 
 
 
 
 
 Skills Required:
 
 
 <ul>
 <li>
 Statistical and Experimental Modeling (regression modeling, survival modeling, experimental design multivariate/A-B testing)
 </li>
 <li>
 ML and AI (deep learning algorithms, NLP, nonparametric Bayesian modeling, ensemble modeling, recommendation algorithms, clustering)
 </li>
 <li>
 Mathematical and Applied Optimization (operations research, linear optimization, non-linear optimization, numerical search)
 </li>
 <li>
 SQL, Python
 </li>
 </ul>
 
 
 
 
 
 Skills Preferred:
 
 
 <ul>
 <li>
 Big Data and Tools (Spark-ML, Snowflake, Spark, Hadoop, Big Query)
 </li>
 <li>
 Production-level Python coding
 </li>
 <li>
 Data Engineering
 </li>
 <li>
 AI Methodologies (GenAI, Agentic AI)
 </li>
 </ul>
</div>

Advanced Data Scientist [T500-21272]

<div>
 Associate Data Scientists assist in analyzing data and developing data-driven insights. Responsibilities include data collection, preprocessing, and basic statistical analysis. You will work under the guidance of senior data scientists to learn and apply data science techniques. Basic knowledge of data analysis tools and statistical methods is required.
</div>

Associate - Data Scientist-Data Science-Data Scientist

Blue Yonder

<div>
 
 Overview &amp; Scope
 
 
 
 <ul>
 <li>
 Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s
 </li>
 <li>
 &ldquo;Best Places to Work&rdquo;
 </li>
 <li>
 We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain
 </li>
 <li>
 Management team. The ideal candidate will leverage data-driven insights to optimize supply chain
 </li>
 <li>
 processes, improve decision-making, and drive business results. You will work closely with crossfunctional
 </li>
 <li>
 teams, utilizing advanced data analytics, machine learning, and optimization techniques to
 </li>
 <li>
 enhance supply chain efficiency, forecast demand, and solve complex operational challenges.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply
 </li>
 <li>
 planning to uncover actionable insights.
 </li>
 <li>
 Machine Learning: Apply statistical and machine learning techniques to forecast demand which would
 </li>
 <li>
 include
 </li>
 <li>
 Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
 </li>
 <li>
 Feature engineering, configuring forecasting models
 </li>
 <li>
 Fine tune forecasting model
 </li>
 <li>
 Present results in a clear manner
 </li>
 <li>
 Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce
 </li>
 <li>
 costs, and enhance service levels.
 </li>
 <li>
 Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising
 </li>
 <li>
 stakeholders on best practices, tools, and strategies for effective supply chain management.
 </li>
 <li>
 Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven
 </li>
 <li>
 strategies for continuous improvement.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Industrial
 </li>
 <li>
 Engineering, Operations Research, Supply Chain Management, or a related field.
 </li>
 <li>
 Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on
 </li>
 <li>
 forecasting projects leveraging statistical/ML models; experience with data visualization tools
 </li>
 <li>
 Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and
 </li>
 <li>
 experience with supply chain management platforms/processes. Good, applied statistics skills, such as
 </li>
 <li>
 distributions, statistical testing, regression, etc
 </li>
 <li>
 Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression,
 </li>
 <li>
 classification, clustering) and optimization models.
 </li>
 <li>
 Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory
 </li>
 <li>
 management, procurement, logistics, and distribution.
 </li>
 <li>
 Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and
 </li>
 <li>
 translate insights into actionable recommendations.
 </li>
 <li>
 Personal competencies
 </li>
 <li>
 Ability to work independently and as part of a team in a consulting environment.
 </li>
 <li>
 Attention to detail, with the ability to manage large data sets and complex analysis.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Staff Data Scientist I - Python, R & ML

Accenture in India

<div>
 
 Job Title -
 
 
 S&amp;C Global Network - AI - Healthcare Analytics - Consultant
 
 
 
 
 Management Level:
 
 
 9-Team Lead/Consultant
 
 
 
 
 Location:
 
 
 Gurgaon/Bangalore/Mumbai
 
 
 
 
 Must-have skills:
 
 Phython, Spark,SQL, Tableau, Power BI
 
 
 
 Good to have skills:
 
 Ability to leverage design thinking, business process optimization, and stakeholder management skills.
 
 
 
 Job Summary:
 
 
 
 This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
 
 
 
 WHAT&rsquo;S IN IT FOR YOU?
 
 
 
 <ul>
 <li>
 Conduct data wrangling and analysis on healthcare claims, provider datasets, and publicly available health data.
 </li>
 <li>
 Develop predictive models using data science and AI techniques to address client needs.
 </li>
 <li>
 Utilize natural language processing (NLP) capabilities to extract insights from unstructured data sources.
 </li>
 <li>
 Collaborate with cross-functional teams to implement analytics solutions effectively.
 </li>
 <li>
 Translate complex data findings into clear, concise, and actionable strategies.
 
 
 
 </li>
 </ul>
 
 What You Would Do In This Role
 
 
 
 <ul>
 <li>
 Work with Managers to get Client's business requirements and deliver Analytics driven solution.
 </li>
 <li>
 Duties and Responsibilities:
 </li>
 <ul>
 <li>
 Sr. Data Scientist responsible for generating actionable recommendations well-supported by quantitative analysis to help our clients address their ongoing problems.
 </li>
 <li>
 Present analytic findings &amp; opportunities for improvement to senior management and summarize key findings, and aid in the dissemination of metrics throughout the organization.
 </li>
 <li>
 Build knowledge base and disseminate information on applications of variety of analytical techniques.
 </li>
 <li>
 Develop statistical models and delivery of analytic offerings and solutions in health domain areas.
 
 
 
 </li>
 </ul>
 </ul>
 
 Professional &amp; Technical Skills:
 
 
 
 <ul>
 <li>
 Relevant experience in the required domain.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Ability to work in a fast-paced, dynamic environment.
 
 
 
 </li>
 </ul>
 
 Additional Information:
 
 
 
 <ul>
 <li>
 Opportunity to work on innovative projects.
 </li>
 <li>
 Career growth and leadership exposure.
 
 
 
 </li>
 </ul>
 
 About Our Company | Accenture
 
 
 
 ,
 
 
 
 Experience:
 
 
 4-8 Years in Healthcare Analytics
 
 
 
 
 Educational Qualification:
 
 
 Bachelor's / master&rsquo;s degree in computer science, statistics, applied mathematics, or a related field.
 
</div>

S&C Global Network - AI - Healthcare Analytics - Manager

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