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data applied scientist ii

Microsoft

<div>
 
 Overview
 
 
 
 Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.  MCAPS is Microsoft's unified commercial organization that brings together sales, partners, industry, and customer success teams to drive business impact at scale. It is designed to accelerate customer outcomes through AI-powered solutions, strategic partnerships, and deep industry expertise. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.
 
 
 We are looking for a
 
 Data &amp; Applied Scientist
 
 
 II
 
 to join our team! As a member of the Customer Experience Data Science organization at Microsoft, you will help us accelerate the company&rsquo;s own AI transformation. You will have the opportunity to partner directly with the engineering and product management groups responsible for managing the Dynamics 365 applications that power Microsoft&rsquo;s sales, marketing, and support platforms. You will apply advanced analytics, statistical modeling, machine learning and GenAI tools to uncover insights, drive action and deliver innovative solutions for complex business challenges.
 
 
 
 This Role Offers The Opportunity To
 
 
 
 <ul>
 <li>
 Collaborate across a diverse team of data scientists, engineers, and product managers
 </li>
 <li>
 Deepen your expertise in the evolving AI and ML landscape
 </li>
 <li>
 Drive meaningful impact for thousands of Microsoft sales, marketing and support platform users
 
 
 </li>
 </ul>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
 </li>
 <li>
 Transform formulated problems into implementation plans by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results.
 </li>
 <li>
 Write robust, reusable, and extensible code to support analysis and modeling.
 </li>
 <li>
 Develop new ML or GenAI based models using advanced statistical and ML techniques.
 </li>
 <li>
 Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
 </li>
 <li>
 Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR master&rsquo;s degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ year(s) related experience
 </li>
 <li>
 OR Doctorate in Data Science, Mathematics, Statistics, Computer Science, or related field AND 3+ year(s) related experience
 </li>
 <li>
 Expertise in Python , PySpark, and SQL, LLMs
 </li>
 <li>
 Experience in Spark and ability to write/maintain/understand declarative Spark code and to cleanly write and maintain SQL. Knowledge of finer operational aspects of Spark such as setting optimal cluster size, executor memory, number of executors etc. and experience in Azure Synapse/Databricks (or similar) is a bonus.
 </li>
 <li>
 Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
 
 
 <ul>
 <li>
 This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred/Additional Qualifications (Optional, At HM Discretion)
 
 
 
 <ul>
 <li>
 Build and deploy end-to-end ML pipelines and GenAI solutions for both batch and real-time use cases, ensuring scalability and reliability.
 </li>
 <li>
 Apply MLOps and AIOps best practices including model versioning, prompt versioning, experiment tracking, environment management, and understanding of CI/CD automation on cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Manage environment dependencies and containerization (Docker/Kubernetes) for reproducible, scalable deployments in any of the cloud platforms (AWS, Azure, GCP etc.).
 </li>
 <li>
 Exposure to some ETL pipelining frameworks such as Azure Data factory, Apache Airflow etc.
 </li>
 <li>
 Expertise in designing and implementing Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning)
 </li>
 <li>
 Experience in managing codebases in Git, creating release pipelines on CI/CD frameworks like Azure DevOps, Jenkins etc. along with creating/managing Python deployment scripts
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
 
 
 Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data & Applied Scientist II

MakeMyTrip

<div>
 Job Title: Director &mdash; Data Scientist
 
 
 Location: Bengaluru
 
 
 Experience: 14+ Years
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build end to end DS/AI/ML solutions.
 </li>
 <li>
 Own analyses, model training, deployment, business impact A/B evaluation, and subsequent iterations, for best-in-class data science models.
 </li>
 <li>
 Primary focus on dynamic pricing and discounting modules for various lines of business (flights, hotels, domestic, international, B2C meta) and potentially other products of both brands MakeMyTrip and GoIbibo.
 </li>
 <li>
 Work with stakeholders at various stages of the project, lead project development.
 </li>
 <li>
 Conduct iterative experiments, demonstrating incremental lift in business metrics due to AI/ML initiatives.
 </li>
 <li>
 Improve the system quality with best-in-class models and engineering tech.
 </li>
 <li>
 Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip, GoIbibo, and TripMoney FinTech.
 </li>
 <li>
 Build and own robust data science APIs meeting 99% SLA at very high RPS. Also, ensure training/inference MLOps rigour.
 </li>
 <li>
 Show business impact while having the opportunity to build best-in-class AI/ML models.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, EE, Mathematics, Statistics, Engineering technical field, or equivalent practical experience.
 </li>
 <li>
 A minimum of 14-18 years of experience (minimum of 10 years with a Ph. D. ) in applied DS /AI/ ML.
 </li>
 <li>
 Production experience in AI/ML Modelling, Pricing, discounting, recommendation systems and personalization.
 </li>
 <li>
 Production experience in price elasticity modeling or causal uplift modeling with combinatorial optimization is a plus.
 </li>
 <li>
 Production experience in contextual bandits and off-policy reinforcement learning methods is big plus.
 </li>
 <li>
 Production experience in sequential/incremental learning systems is a plus.
 </li>
 <li>
 Preferably, has worked in e-commerce.
 </li>
 <li>
 Experience with applying machine learning techniques to big data systems (e. g., Spark or Spark SQL) with TB to PB scale datasets.
 </li>
 <li>
 If one has a Ph. D, it should be in a quantitative field with strong/relevant experience for the problems mentioned above.
 </li>
 <li>
 Keen aptitude to learn and experiment with AI/ML adoption across various use cases.
 </li>
 <li>
 Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.
 </li>
 </ul>
</div>

Director - Data Scientist

Auxia

<div>
 
 Auxia is building the
 
 Agentic Customer Journey Orchestration Platform
 
 , redefining how enterprises activate, engage, and retain their customers through intelligent, adaptive AI systems. Backed by
 
 $23.5M in funding
 
 from top-tier investors &mdash; VMG Technology Partners, Stage 2 Capital, and MUFG Innovation Partners &mdash; we&rsquo;re on a mission to make every enterprise truly intelligent.
 
 
 Our founders,
 
 Sandeep Menon (ex-VP Marketing, Google)
 
 and
 
 Ravi Desu (ex-Global Engineering Lead, WhatsApp Payments @ Meta)
 
 , are building Auxia with the same ambition and technical excellence that powered global platforms used by billions.
 
 
 Today, Auxia powers
 
 3B+ daily events
 
 ,
 
 6,500 queries per second
 
 , and
 
 250M+ decisions per day
 
 , helping global enterprises like
 
 DOCOMO, Mercari, and MUFG
 
 unlock the full potential of their first-party data.
 
 
 
 
 
 
 Your Impact
 
 
 
 You won&rsquo;t just be joining a data science team &mdash; you&rsquo;ll be shaping the future of autonomous, AI-driven personalization. As a
 
 Staff Data Scientist
 
 , you&rsquo;ll lead innovation at the intersection of recommender systems, causal inference, reinforcement learning, and LLM-based personalization. Your work will directly influence how millions of end-users experience hyper-personalized content in real time.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 &bull; Architect and advance large-scale recommender and ranking models powering adaptive customer journeys.
 
 
 &bull; Design and deploy autonomous agents that understand goals, make real-time decisions, and continuously optimize engagement.
 
 
 &bull; Partner with engineering and product leaders to translate cutting-edge AI research into scalable systems.
 
 
 &bull; Lead experimentation frameworks that bridge causality, personalization, and business impact.
 
 
 &bull; Mentor across teams &mdash; setting the data science bar for both experimentation and productization.
 
 
 &bull; Stay ahead of the curve by bringing ideas from academia and industry research into production.
 
 
 
 
 
 
 What You Bring
 
 
 
 &bull; M.Tech/PhD or related course in Computer Science, Machine Learning, or a related field.
 
 
 &bull; 10+ years of experience building and deploying production ML systems at scale.
 
 
 &bull; Deep expertise in personalization, ranking, recommendation, causal inference, and transformers.
 
 
 &bull; Mastery of PyTorch / TensorFlow / JAX, and the Python data ecosystem (NumPy, Pandas, SciPy).
 
 
 &bull; Strong applied experience with LLMs, RAG, information retrieval, and reinforcement learning.
 
 
 &bull; Strong product sense, with the ability to balance research depth and real-world impact.
 
 
 &bull; An entrepreneurial, ownership-driven mindset &mdash; the ability to ship, iterate, and scale models fast.
 
 
 
 
 
 
 Why Auxia
 
 
 
 &bull;
 
 Impact
 
 &ndash; Be at the forefront of Agentic AI, driving the evolution of enterprise personalization &mdash; from manual segmentation to self-learning systems.
 
 
 &bull;
 
 Influence
 
 &ndash; Work directly with Auxia&rsquo;s founders and leadership team, alongside ex-Google, Meta, and Lyft engineers. Your insights will shape both our roadmap and the future of enterprise AI.
 
 
 &bull;
 
 Growth
 
 &ndash; A pivotal role in a high-growth AI company scaling rapidly across the U.S. and Japan, with exposure to Fortune 500 customers and industry-defining challenges.
 
 
 &bull;
 
 Work Environment
 
 
 
 ➜ 100% Onsite, Bellandur, Bangalore (5 days/week) &ndash; because innovation thrives in collaboration.
 
 
 ➜ Fast-moving, research-driven environment where ideas turn into production within weeks.
 
 
 ➜ A team that believes in freedom with accountability &mdash; great minds solving hard problems, together.
 
 
 &bull;
 
 Diversity, Equity &amp; Inclusion
 
 
 
 At Auxia, we are committed to building a workplace that celebrates diversity, fosters inclusion, and ensures equal opportunity. We welcome applicants from all backgrounds, regardless of race, gender, religion, age, sexual orientation, or disability.
 
 
 
 
 
 
 Ready to Join the Journey?
 
 
 
 Auxia is not just a company &mdash; it&rsquo;s a movement to make every customer interaction intelligent, adaptive, and human.
 
 
 If you&rsquo;re driven by deep technical challenges, global impact, and the chance to build with some of the sharpest minds from Google, Meta, and Lyft, this is your next big leap.
 
</div>

Staff Data Scientist

Meesho

<div>
 
 About The Team
 
 
 
 Our Data Science team is the Avengers to Meesho&rsquo;s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We&rsquo;ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
 
 
 Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
 
 
 As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.
 
 
 But wait &ndash; there&rsquo;s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting &ldquo;Summer of 69&rdquo; at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️
 
 
 
 About The Role
 
 
 
 Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.
 
 
 In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Develop models and run experiments to infer insights from hard data
 </li>
 <li>
 Improve our product usability and identify new growth opportunities
 </li>
 <li>
 Understand reseller preferences to provide them with the most relevant products
 </li>
 <li>
 Designing discount programs to help our resellers sell more
 </li>
 <li>
 Help resellers better recognise end-customer preferences to improve their revenue
 </li>
 <li>
 Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
 </li>
 <li>
 Model seasonal demand to predict key organisational metrics
 </li>
 <li>
 Mentor junior data scientists in the team
 
 
 
 </li>
 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in computer science (or similar degrees)
 </li>
 <li>
 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
 </li>
 <li>
 Familiarity with Neural Networks, Machine Learning, etc
 </li>
 <li>
 Familiarity with tools like SQL, R, Python, etc.
 </li>
 <li>
 Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors
 </li>
 <li>
 Experience designing and running A/B tests and drawing insights from them
 </li>
 <li>
 Proficiency in machine learning algorithms
 </li>
 <li>
 Excellent analytical skills to fetch data from reliable sources to generate accurate insights
 </li>
 <li>
 Experience in tech and product teams is a plus
 
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 Experience in working on personalization or other ML problems
 </li>
 <li>
 Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift
 </li>
 </ul>
</div>

Data Scientist II

Visa

<div>
 
 
 Job Description
 
 
 
 
 What a Data Scientist , Visa Consulting &amp; Analytics does at Visa:
 
 
 
 
 
 
 The Data Scientist will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa&rsquo;s Bangalore office.
 
 
 
 
 
 The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.
 
 <ul>
 <li>
 Hands-on development of detailed project scopes and methodologies, as well as designing, and implementing solutions using appropriate tools and techniques.
 </li>
 <li>
 Own project outcomes by proactively identifying and mitigating risks, managing dependencies, and communicating status and timelines to meet delivery expectations.
 </li>
 <li>
 Ensuring quality control and maintaining up-to-date documentation for all data science projects.
 </li>
 <li>
 Monitoring client portfolio growth data, identifying spending trends, and pinpointing growth opportunities using non-traditional data and new modeling techniques.
 </li>
 <li>
 Translate analytical findings into clear, actionable business insights.
 </li>
 <li>
 Work closely with cross-functional teams (consultants, data science, data engineers) to ensure successful project delivery.
 </li>
 <li>
 Contribute to the development of internal frameworks, templates, and accelerators for data science consulting.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.
 
 
 &bull; 5+ years&rsquo; experience plus a bachelor&rsquo;s degree in computer science, information science, mathematics, or similar/related streams. Graduate master&rsquo;s degree is a plus.
 
 
 &bull; Hands-on in delivering end-to-end data science projects, developing machine learning solutions, and scaling up data solutions. Demonstrated expertise in the core machine learning workflow, including data handling (cleaning, wrangling, feature engineering) and modeling with algorithms like Linear Regression, Decision Trees, and XGBoost.
 
 
 &bull; Experience in card payments and/or retail banking domain.
 
 
 &bull; Hands-on experience across the data analytics lifecycle: programming and querying (Python, SQL, Pyspark), big data platforms (Hadoop, Hive), and business intelligence/visualization (Tableau).
 
 
 &bull; Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.
 
 
 &bull; Proven ability to translate complex data into compelling narratives and impactful presentations using advanced Excel and PowerPoint.
 
 
 &bull; Familiar/Skilled in identifying and implementing GenAI solutions is desirable.
 
 
 &bull; Self-motivated, results oriented individual with ability to handle multiple projects concurrently.
 
</div>

Data Scientist

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 Looking for a company that inspires passion, courage and creativity, where you can be on the team crafting the future of global ecommerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you&rsquo;re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay &ndash; a company you can be proud to be with.
 
 
 We are looking to hire an analytics &amp; insights Data Scientist to partner with the eBay Search product team and focus on optimizing Search experience at eBay. This role will have the outstanding opportunity to influence decision making of Search roadmap with their insights.
 
 
 With a vision to find opportunities to drive ground-breaking change in the customer experience and result in significant business growth, we mine the largest datasets in the world of e-Commerce and use best in class analytic and big data techniques to extract impactful insights. We achieve this by partnering closely with the product and engineering teams, and resolve opportunities that are accretive to the product roadmaps.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct, analyze, and deep dive into A/B tests and provide actionable recommendations on improving varuious product features.
 </li>
 <li>
 Decode and validate web tracking to analyze user behaviors around new features.
 </li>
 <li>
 Develop metrics to measure product success and guide product roadmap.
 </li>
 <li>
 Drive self-serve for commonly used metrics by building dashboards and onboarding metrics to experimentation platform.
 </li>
 <li>
 Identify new growth opportunities and provide actionable recommendations by leveraging insights across behavioral data, customer research and data science.
 
 
 
 </li>
 </ul>
 
 To Be Successful In This Role
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, Economics, Engineering or other related core sciences or equivalent.
 </li>
 <li>
 4+ years relevant professional experience.
 </li>
 <li>
 Experience with site experimentation (A/B testing).
 </li>
 <li>
 You would have to strike a balance between critical thinking and actual hands-on analyses using tools &amp; packages such as SQL, R, Python, Tableau etc.
 </li>
 <li>
 Proactive collaboration and effective communication are needed.
 </li>
 <li>
 Flexible and capable of working remotely across multiple time zones. Regular availability is required for meetings between 9:00 AM and 12:00 PM (PDT).
 
 
 
 </li>
 </ul>
 
 Additionally, The Following Background And Experience Is Helpful
 
 
 
 <ul>
 <li>
 Prior experience in Search and understand how a search engine works.
 </li>
 <li>
 Proven track record of turning insights into growth opportunities in prior roles with increasing scope and responsibilities.
 </li>
 <li>
 Ability to present complex analyses and insights effectively in simple terms.
 </li>
 <li>
 Good experience with both descriptive and inferential statistics.
 </li>
 <li>
 Experience in a leading technology company.
 </li>
 <li>
 Background in e-commerce product experience.
 </li>
 <li>
 Experience with Natural Language Processing or LLM/GenAI is a plus.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
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</div>

Manager Focus Category Analytics

Data Scientist, Product Analytics

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