data analyst

data scientist

ai engineer

data quality analyst

data scientist (lead)

data engineer

DoorDash

<div>
 
 About the Team
 
 
 
 Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
 
 
 
 About the Role
 
 
 
 DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
 
 
 
 You're excited about this opportunity because you will&hellip;
 
 
 
 <ul>
 <li>
 Own critical data systems that support multiple products/teams
 </li>
 <li>
 Develop, implement and enforce best practices for data infrastructure and automation
 </li>
 <li>
 Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
 </li>
 <li>
 Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
 </li>
 <li>
 Manage a portfolio of data products that deliver high-quality, trustworthy data
 </li>
 <li>
 Help onboard and support other engineers as they join the team
 
 
 </li>
 </ul>
 
 We're excited about you because&hellip;
 
 
 
 <ul>
 <li>
 3+ years of professional experience
 </li>
 <li>
 3+ years experience working in data platform and data engineering or a similar role
 </li>
 <li>
 Proficiency in programming languages such as Python/Kotlin/Scala
 </li>
 <li>
 3+ years of experience in ETL orchestration and workflow management tools like Airflow
 </li>
 <li>
 Expert in database fundamentals, SQL, data reliability practices and distributed computing
 </li>
 <li>
 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
 </li>
 <li>
 Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
 </li>
 <li>
 Comfortable working in fast paced environment, self starter and self organizing
 </li>
 <li>
 Ability to think strategically, analyze and interpret market and consumer information
 </li>
 <li>
 You must be located near one of our engineering hubs indicated above
 
 
 </li>
 </ul>
 Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
 
 
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
 
 https://getcovey.com/nyc-local-law-144
 
 
 
 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
 
</div>

Software Engineer, Data Engineer II

Aligned Automation

<div>
 
 
 Job Description:
 
 
 
 
 
 Role Overview:
 
 
 
 
 We are seeking a seasoned ML Engineer with strong MLOps expertise to lead and scale our machine learning infrastructure. The ideal candidate will be responsible for designing, deploying, and maintaining robust ML pipelines, ensuring model reproducibility, scalability, and performance in production environments.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Participate in Agile/Scrum ceremonies and contribute to sprint planning and retrospectives.
 
 </li>
 </ul>
 <ul>
 <li>
 Scope and break down complex ML problems into actionable tasks.
 
 </li>
 </ul>
 <ul>
 <li>
 Write clean, scalable, and production-ready code for ML pipelines and services.
 
 </li>
 </ul>
 <ul>
 <li>
 Design and implement efficient ETL workflows for structured and unstructured data.
 
 </li>
 </ul>
 <ul>
 <li>
 Develop Python scripts for data preprocessing, feature engineering, and automation tasks.
 
 </li>
 </ul>
 <ul>
 <li>
 Submit and manage pull requests; resolve issues flagged by linters/scanners.
 
 </li>
 </ul>
 <ul>
 <li>
 Conduct and participate in code reviews to ensure high-quality standards.
 
 </li>
 </ul>
 <ul>
 <li>
 Collaborate with data scientists, software engineers, and DevOps teams.
 
 </li>
 </ul>
 <ul>
 <li>
 Automate model training, validation, deployment, and monitoring workflows.
 
 </li>
 </ul>
 <ul>
 <li>
 Implement CI/CD pipelines for ML models and data workflows.
 
 </li>
 </ul>
 <ul>
 <li>
 Monitor model performance and data drift in production environments.
 
 </li>
 </ul>
 <ul>
 <li>
 Ensure compliance with data governance and security standards.
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 
 Languages &amp; Frameworks:
 
 Python (advanced), SQL
 
 </li>
 </ul>
 <ul>
 <li>
 
 Data &amp; Storage:
 
 PostgreSQL, S3, data versioning tools
 
 </li>
 </ul>
 <ul>
 <li>
 
 ETL Tools &amp; Practices:
 
 Airflow, Pandas, custom Python-based ETLs
 
 </li>
 </ul>
 <ul>
 <li>
 
 ML &amp; MLOps Tools:
 
 MLFlow (tracking, registry, deployment), LLMs (integration and fine-tuning), Hugging Face, TensorFlow/PyTorch (optional)
 
 </li>
 </ul>
 <ul>
 <li>
 
 Infrastructure &amp; DevOps:
 
 AWS ECS, Docker, Kubernetes (preferred), GitHub Actions
 
 </li>
 </ul>
 <ul>
 <li>
 
 Version Control &amp; Collaboration:
 
 GitHub, GitLab
 
 </li>
 </ul>
 <ul>
 <li>
 
 Monitoring &amp; Logging:
 
 Prometheus, Grafana, or similar tools (optional but preferred)
 </li>
 </ul>
</div>

ML Engineer (MLOPS)

Uplers

<div>
 
 
 Experience:
 
 3 to 7 Years Exp
 
 
 
 Preferred Notice Period:
 
 Upto 30 Days
 
 
 
 Opportunity Type:
 
 Onsite (Pune)
 
 
 
 Placement Type:
 
 Full-time
 
 
 
 (*Note: This is a requirement for one of Uplers' Clients--Newton School)
 
 
 
 
 
 
 
 Must have skills:
 
 AI/ML
 
 and
 
 Deep Learning
 
 and
 
 LLMs
 
 OR
 
 NLP
 
 OR
 
 Transformers
 
 OR
 
 Statistical Modelling
 
 OR
 
 Agentic AI
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI).
 </li>
 <li>
 Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your professional experience and case studies.
 </li>
 <li>
 Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards.
 </li>
 <li>
 Guide &amp; Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements.
 </li>
 <li>
 Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom.
 </li>
 <li>
 Collaborate: Work closely with other expert faculty and staff to create a unified and effective learning experience.
 </li>
 <li>
 Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or related field. (PhD is valued but not mandatory.)
 </li>
 <li>
 3-7 years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving AI/ML development and deployment.
 </li>
 <li>
 Proven Industry Track Record: Demonstrated experience in building, training, and deploying machine learning models (including deep learning) for real-world problems.
 </li>
 <li>
 Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical &amp; deep learning CNNs, RNNs, Transformers), model evaluation, statistics, and awareness of current research/industry trends.
 </li>
 <li>
 Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. Prior mentoring, corporate training, technical workshops, or project supervision experience is highly relevant. (Formal academic teaching experience is not mandatory.)
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Technical: Expert-level Python programming.
 </li>
 <li>
 Proficiency with data science libraries (Pandas, NumPy, Scikit-learn).
 </li>
 <li>
 Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Strong SQL and data handling skills.
 </li>
 <li>
 Understanding of ML Ops practices and tools (Git, Docker, AWS/GCP/Azure).
 </li>
 <li>
 Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs).
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 Strong communication, mentoring ability, collaboration, and a genuine passion for education.
 
 
 
 
 
 
 Good-to-Have
 
 
 <ul>
 <li>
 Prior teaching experience at the undergraduate or graduate level.
 </li>
 <li>
 Familiarity with modern teaching methodologies and academic tools.
 </li>
 </ul>
 
 
 
</div>

Data Scientist

Avantor

<div>
 
 The Opportunity
 
 
 
 A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
 
 
 
 The Opportunity
 
 
 
 As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
 
 
 
 What We're Looking For
 
 
 
 The ideal candidate will be responsible for
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to generate insights and recommendations.
 </li>
 <li>
 Develop and implement machine learning models to solve business problems.
 </li>
 <li>
 Maintain ML pipeline and fix production issues in stipulated time.
 </li>
 <li>
 Work on model maintenance and improvise model performance when necessary.
 </li>
 <li>
 Conduct hypothesis testing and statistical analyses to understand data trends.
 </li>
 <li>
 Communicate findings to non-technical stakeholders through reports and visualizations.
 </li>
 <li>
 Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.
 
 
 </li>
 </ul>
 
 CERTIFICATIONS (Good To Have)
 
 
 
 <ul>
 <li>
 ML/AI certifications
 </li>
 <li>
 Cloud certifications &ndash; like AWS, Azure, GCP etc.
 </li>
 <li>
 Databricks or Snowflake certification.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
 </li>
 <li>
 2+ years of experience in working with a product development company as a ML/AI engineer.
 </li>
 <li>
 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
 </li>
 <li>
 Strong hands-on experience in SQL or data manipulation/query language.
 </li>
 <li>
 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Good knowledge on NLP, transformers, LLM and generative AI.
 </li>
 <li>
 Strong analytical skills and proficiency in statistical analysis and data visualization.
 </li>
 <li>
 Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
 </li>
 <li>
 Good Team player and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 How You Will Thrive And Create An Impact
 
 
 
 <ul>
 <li>
 With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
 </li>
 <li>
 With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
 </li>
 <li>
 You will have the opportunity to work with great minds who focusses on delivering quality products.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
 
 
 
 Why Avantor?
 
 
 
 
 Dare to go further in your career.
 
 Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
 
 
 The work we do changes people's lives for the better.
 
 It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
 
 We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.
 
 Apply today!
 
 
 
 
 EEO Statement
 
 
 
 We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
 
 
 If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 3rd Party Non-solicitation Policy
 
 
 
 By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation
</div>

<div>
 
 About the Team
 
 
 
 Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.
 
 
 
 About the Role
 
 
 
 The Data Tools mission is to build robust data platforms and establish policies that guarantee the analytics data is of high quality, easily accessible/cataloged, and compliant with financial and privacy regulations, fostering trust and confidence in our data-driven decision-making process.
 
 
 We are building the Data Tools team in India and you will have an opportunity to be part of a founding team with a greater opportunity for impact where you can help grow the team and shape the roadmap for the data platform at DoorDash. You will report directly to the Data Tools Engineering Manager.
 
 
 
 
 
 You're excited about this opportunity because you will&hellip;
 
 
 
 <ul>
 <li>
 Work on building a data discovery platform, privacy frameworks, unified access control frameworks, and data quality platform to enable data builders at DoorDash to deliver high-quality and trustable data sets and metrics
 </li>
 <li>
 Help accelerate the adoption of the data discovery platform by building integrations across online, analytics platforms and promoting self-serve
 </li>
 <li>
 Come up with solutions for scaling data systems for various business needs
 </li>
 <li>
 Collaborate in a dynamic startup environment
 
 
 </li>
 </ul>
 
 We're excited about you because&hellip;
 
 
 
 <ul>
 <li>
 B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent
 </li>
 <li>
 2+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala, Java, and Python
 </li>
 <li>
 Prior technical experience in Big Data infrastructure &amp; governance - you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like DataHub, Spark, Airflow, Kafka, Flink
 </li>
 <li>
 Experience improving efficiency, scalability, and stability of data platforms
 
 
 </li>
 </ul>
 We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.
 
 
 Please see the independent bias audit report covering our use of Covey here.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
 
 
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
 
 https://getcovey.com/nyc-local-law-144
 
 
 
 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
 
</div>

Software Engineer, Backend

Amber

<div>
 
 
 About Amber (https://amberstudent.com)
 
 
 
 
 
 
 
 Long-term accommodation booking platform for students (think booking.com for student housing). Amber helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process. We are the leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.
 
 
 
 
 We are growing rapidly and targeting $1B in annual gross bookings value by 2024. Amber raised $18.5M from Marquee investors like Gaja capital.
 
 
 
 
 
 
 
 If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing!
 
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Developing and maintaining databases, data systems
 </li>
 <li>
 Performing analysis to assess quality and meaning of data
 </li>
 <li>
 Generate dynamic dashboards and reports
 </li>
 <li>
 Identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
 </li>
 <li>
 Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
 </li>
 <li>
 Analyzing local, national, and global trends that impact both the organization and the industry Preparing reports for the management stating trends, patterns, and predictions using relevant data
 </li>
 </ul>
 
 
 
 
 
 Skills required:
 
 
 <ul>
 <li>
 Strong hands-on experience with
 
 SQL (Redshift, BigQuery, or PostgreSQL)
 
 </li>
 <li>
 Familiarity with
 
 Python or R
 
 for data wrangling and light ML
 </li>
 <li>
 Comfort with
 
 BI tools
 
 &mdash; Tableau, Power BI, or Google Data Studio
 </li>
 <li>
 Solid grounding in
 
 data cleaning, feature engineering, and visualization
 
 </li>
 <li>
 Curious about the
 
 why
 
 behind metrics &mdash; not just reporting numbers but questioning them
 </li>
 <li>
 Understanding of
 
 A/B testing
 
 ,
 
 funnels
 
 ,
 
 marketing attribution
 
 , or
 
 user cohort analysis
 
 is a plus
 </li>
 <li>
 Good communication skills &mdash; able to convert data findings into actionable business stories
 </li>
 </ul>
 
 
</div>

Data Analyst

Williams-Sonoma, Inc.

<div>
 
 
 JOB DESCRIPTION
 
 
 
 
 WILLIAMS-SONOMA INDIA
 
 
 
 Job Description
 
 
 
 __________________________________________________________________________________
 
 
 Work Location : Pune, India
 
 
 Job Title : Data Scientist (Lead)
 
 
 Business Unit : WSI Corporate Technology, Pune/Hyderabad
 
 
 Lead Data Scientist
 
 
 
 About The Role
 
 
 
 We are seeking an experienced Lead Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in advanced analytics, machine learning, and agentic AI, with a proven ability to lead complex projects from ideation to deployment. This role involves driving innovation, mentoring junior team members, and collaborating with cross-functional teams to deliver impactful, data-driven solutions in the retail sector.
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of advanced predictive models, agentic AI solutions, and statistical analyses to solve high-impact business problems.
 </li>
 <li>
 Analyze large, complex datasets to extract actionable insights and guide strategic decision-making.
 </li>
 <li>
 Drive exploratory data analysis (EDA) and communicate findings to both technical and non-technical stakeholders.
 </li>
 <li>
 Partner with business leaders and stakeholders to define analytical objectives, data requirements, and success metrics.
 </li>
 <li>
 Mentor and provide technical guidance to data scientists and ML engineers, fostering a culture of learning and innovation.
 </li>
 <li>
 Architect and optimize scalable data pipelines and workflows using Spark and other big data technologies.
 </li>
 <li>
 Oversee the integration of agentic AI models with traditional machine learning approaches, ensuring robust, autonomous, and multi-modal solutions.
 </li>
 <li>
 Monitor, evaluate, and continuously improve the performance of deployed models and analytics solutions.
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and best practices in AI, ML, and data science.
 </li>
 <li>
 Contribute to the development of data science standards, code reviews, and knowledge sharing within the team.
 
 
 
 </li>
 </ul>
 Criteria
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Data Science, Computer Science, Statistics, or a related field, or equivalent work experience.
 </li>
 <li>
 8+ years of experience in data science, machine learning, or a related role, with a track record of delivering production-grade solutions.
 </li>
 <li>
 Demonstrated expertise in agentic AI, generative AI, and multi-modal systems, including the development and deployment of autonomous agents.
 </li>
 <li>
 Advanced proficiency in Python, NumPy, Scikit-learn, TensorFlow, PyTorch, Scala, or similar languages and frameworks.
 </li>
 <li>
 Working experience with big data technologies (e.g., Hadoop, Spark) and cloud-based data platforms.
 </li>
 <li>
 Deep understanding of statistical modeling, machine learning algorithms, and best practices for model validation and monitoring.
 </li>
 <li>
 Strong EDA and data storytelling skills, with the ability to influence business strategy through data-driven insights.
 </li>
 <li>
 Experience leading projects and mentoring junior team members.
 </li>
 <li>
 Experience in the retail sector is highly desirable.
 </li>
 <li>
 Excellent problem-solving, project management, and communication skills, with the ability to translate complex technical concepts for diverse audiences.
 
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen
 
 
 and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce
 
 
 retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are
 
 
 Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teens, West Elm, Williams-Sonoma Home,
 
 
 Rejuvenation, GreenRow and Mark and Graham. We currently operate retail stores globally. Our products are
 
 
 also available to customers through our catalogs and online worldwide.
 
 
 Williams-Sonoma has established a technology center in Pune, India to enhance its global operations. The India Technology Center serves as a critical hub for innovation and focuses on developing cutting-edge solutions in areas such as e-commerce, supply chain optimization, and customer experience management. By integrating advanced technologies like artificial intelligence, data analytics, and machine learning, the India Technology Center plays a crucial role in accelerating Williams-Sonoma's growth and maintaining its competitive edge in the
 
 
 global market
 
 
 
 
 ABOUT US
 
 
 
 
 
 Williams-Sonoma India Pvt. Ltd.
 
 
 
 Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teens, West Elm, Williams-Sonoma Home, Rejuvenation, and Mark and Graham. We currently operate retail stores globally. Our products are also available to customers through our catalogs and online worldwide.
 
 
 Williams-Sonoma India sourcing office was established in 2013. We are based in Gurugram, India. We are sourcing premium products across all categories of Home Furnishing and recorded double digit year-on-year growth. We have a dynamic team of over 100 members handling versatile vendors across India, Nepal &amp; Bangladesh. We are looking to onboard talented people and create successful professional journey.
</div>

Data Scientist (Lead)

Explore 138+ Data engineer in Pune this November. Find roles across top companies and apply now to boost your career.

138 data engineer jobs IN Pune

Software Engineer, Data Engineer II

ML Engineer (MLOPS)

Data Scientist

Data Scientist

Software Engineer, Backend

Data Analyst

Data Scientist (Lead)