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senior data scientist

Straive

<div>
 
 
 About the Role
 
 
 
 Straive is looking for a talented and driven
 
 Consultant / Data Scientist / GenAI Engineer
 
 to join our
 
 Analytics &amp; GenAI delivery team
 
 . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems.
 
 
 
 
 
 This role is ideal for candidates from
 
 premier engineering institutes
 
 with
 
 2&ndash;3 years of relevant experience
 
 in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 Python-based
 
 applications, AI/ML models, and data processing pipelines for GenAI projects.
 </li>
 <li>
 Implement
 
 Large Language Model (LLM)
 
 integrations, including
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines and embedding-based search solutions.
 </li>
 <li>
 Build data ingestion and transformation workflows, working with structured and unstructured datasets.
 </li>
 <li>
 Optimize AI model performance through
 
 prompt engineering
 
 , fine-tuning, and evaluation techniques.
 </li>
 <li>
 Collaborate closely with senior team members to translate business requirements into technical solutions.
 </li>
 <li>
 Integrate AI solutions with
 
 vector databases
 
 (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
 </li>
 <li>
 (Optional) Contribute to
 
 cloud-native deployments
 
 and
 
 Azure architecture
 
 &ndash;based solutions, including containerization, CI/CD, and basic MLOps workflows.
 </li>
 <li>
 Document workflows, maintain code repositories, and follow Agile development practices.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 2&ndash;3 years
 
 of relevant experience in AI/ML development, preferably in enterprise projects.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field from a
 
 premier engineering institute
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
 </li>
 <li>
 Hands-on experience implementing
 
 RAG pipelines
 
 , embeddings, and vector search solutions.
 </li>
 <li>
 Understanding of
 
 LLM architectures
 
 and integration patterns.
 </li>
 <li>
 Working knowledge of
 
 SQL
 
 and data processing best practices.
 </li>
 <li>
 Basic knowledge of
 
 cloud DevOps concepts
 
 , preferably with
 
 Azure
 
 (AWS/GCP experience is also acceptable).
 </li>
 </ul>
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Exposure to
 
 agentic AI frameworks
 
 such as LangGraph, Semantic Kernel, or similar.
 </li>
 <li>
 Familiarity with ML model lifecycle management and deployment workflows.
 </li>
 <li>
 Prior experience working with cross-border teams and Agile environments.
 </li>
 </ul>
 
 
</div>

Data Scientist

Olyv India (formerly SmartCoin)

<div>
 
 
 About Olyv
 
 
 
 
 Olyv is on a mission to build India&rsquo;s largest fully automated digital financial inclusion platform, offering a diverse range of financial services including micro-loans for the underserved middle/lower-income segment, digital gold savings, and credit health solutions. Our vision is to empower millions by enabling access to responsible financial products through data, technology, and innovation.
 
 
 
 Role: Data Scientist &ndash; Marketing &amp; Credit Risk
 
 
 
 As a Data Scientist at Olyv, you will be part of a high-impact team driving data-led decision-making across both
 
 Marketing
 
 and
 
 Credit Risk
 
 verticals. You will design, develop, and deploy advanced machine learning models that fuel growth strategies, customer engagement, and risk management decisions.
 
 
 
 Requirement 1: Data Scientist &ndash; Marketing
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 2 or more years of work experience in creating and deploying ML models
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering or a related field
 </li>
 <li>
 Advanced proficiency in SQL and Python is a must
 </li>
 <li>
 Hands-on experience in deploying ML models into production (batch or streaming)
 </li>
 <li>
 Experience in building ML models for marketing campaign channels such as Propensity Models, Hyper-Personalization, and Next Best Action (NBA)
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail and the ability to manage multiple projects with evolving priorities
 </li>
 <li>
 Proven experience in end-to-end ownership of projects and collaboration with multiple stakeholders
 </li>
 <li>
 Excellent communication and presentation skills to simplify complex findings
 </li>
 <li>
 Experience with LLMs and Deep Learning models will be an added advantage
 
 
 </li>
 </ul>
 
 
 Roles And Responsibilities
 
 
 
 
 <ul>
 <li>
 End-to-end ownership of development and implementation of ML models for marketing, including design, validation, deployment, and monitoring
 </li>
 <li>
 Work with Non-Bureau and Alternate Data to build marketing analytics models
 </li>
 <li>
 Collaborate with teams such as Growth, Tech, Marketing, and Sales to enhance model usage in business decision-making
 </li>
 <li>
 Design and implement statistical and ML-based solutions for various marketing initiatives
 </li>
 <li>
 Build automated data pipelines for scalable and efficient data processing
 </li>
 <li>
 Mentor junior data analysts and data scientists
 
 
 </li>
 </ul>
 
 Requirement 2: Data Scientist &ndash; Credit Risk
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 2 or more years of work experience in creating ML models for Retail Credit Risk
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering or a related field
 </li>
 <li>
 Advanced proficiency in SQL and Python is a must
 </li>
 <li>
 Strong understanding of Credit Risk concepts &ndash; Credit Bureau data, default rates, roll rates, vintage analysis, etc.
 </li>
 <li>
 Experience in Model Validation and Monitoring using metrics such as AUC, GINI, KS, PSI, and Drift
 </li>
 <li>
 Must have deployed ML models into production (batch or streaming)
 </li>
 <li>
 Strong analytical and problem-solving skills with proven ability to manage multiple priorities
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Experience in LLMs and Deep Learning models will be an added advantage
 
 
 </li>
 </ul>
 
 
 Roles And Responsibilities
 
 
 
 
 <ul>
 <li>
 End-to-end ownership of ML model development and implementation for credit risk assessment, including design, validation, deployment, and post-deployment monitoring
 </li>
 <li>
 Work with Non-Bureau and Alternate Data to build robust credit risk models
 </li>
 <li>
 Collaborate with Risk, Tech, and Collections teams to embed model insights in decision-making
 </li>
 <li>
 Design statistical and ML-based solutions to optimize credit strategies and risk evaluation
 </li>
 <li>
 Build automated data pipelines and tools for model deployment and monitoring
 </li>
 <li>
 Mentor junior analysts in data science practices
 
 
 </li>
 </ul>
 
 
 What You Can Expect
 
 
 
 
 <ul>
 <li>
 A culture that encourages openness, innovation, and continuous learning
 </li>
 <li>
 Opportunity to make a meaningful impact by enabling data-driven decision-making across business functions
 </li>
 <li>
 The chance to uplift millions of people by contributing to financial inclusion
 </li>
 <li>
 Exposure to advanced ML, LLM, and data infrastructure frameworks in a fast-scaling fintech environment
 </li>
 </ul>
</div>

NTT DATA North America

<div>
 
 Req ID:
 
 336383
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Data Science Business Sr. Consultant (BY/o9) to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 
 Position: Senior Consultant, Data Scientist &ndash; Supply Chain Consulting
 
 
 
 
 Experience Required:
 
 5 to 8 years in Data Science, Analytics, or related fields
 
 
 
 Location:
 
 Remote (within India) Or Hybrid from our offices in Bangalore, Delhi, and other locations
 
 
 
 What You&rsquo;ll Do
 
 
 
 NTT Data is seeking an experienced
 
 Data Scientist
 
 to join its
 
 Supply Chain Consulting
 
 team. You will be part of a global team that designs and delivers cutting-edge supply chain solutions for leading organizations.
 
 
 Your primary focus will be on developing and deploying
 
 forecasting solutions
 
 using both traditional statistical models and modern machine learning techniques. In addition to forecasting, you will contribute to building
 
 AI/ML-driven solutions
 
 for diverse real-world supply chain challenges.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement time series forecasting models for demand planning and other supply chain use cases.
 </li>
 <li>
 Apply statistical techniques such as ARIMA, ETS etc for effective &amp; strong baseline modeling.
 </li>
 <li>
 Implement and optimize machine learning algorithms (e.g., Boosting methods like LightGBM, CatBoost etc) to improve forecast accuracy.
 </li>
 <li>
 Collaborate with clients to understand business problems and translate them into data science solutions.
 </li>
 <li>
 Contribute to broader AI/ML initiatives across supply chain functions, including anomaly detection, inventory optimization, and scenario modeling.
 </li>
 <li>
 Communicate results effectively to technical and non-technical stakeholders.
 </li>
 <li>
 Work closely with digital supply chain platforms such as o9, Blue Yonder, or similar (experience preferred).
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 5 to 8 years of hands-on experience in Data Science or Analytics, preferably in supply chain or operations domains.
 </li>
 <li>
 Strong expertise in time series forecasting, with proven experience implementing models like ARIMA, ETS, etc.
 </li>
 <li>
 Solid experience in applying machine learning techniques such as boosted trees, random forests, etc.
 </li>
 <li>
 Proficiency in Python (including libraries like pandas, scikit-learn, statsmodels/StatsForecast/DARTS etc) and SQL.
 </li>
 <li>
 Exposure to or experience with digital supply chain tools (e.g., o9, Blue Yonder) is highly desirable.
 </li>
 <li>
 Strong problem-solving and communication skills with the ability to manage client interactions independently.
 </li>
 <li>
 Understanding of MLOps, model deployment, or cloud platforms (Azure, AWS) is a plus.
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Data Science Business Sr. Consultant (BY/o9)

Infosys

<div>
 <ul>
 <li>
 Master's degree in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 7+ years of experience in data science and machine learning with a strong focus on model development and deployment.
 </li>
 <li>
 Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference.
 </li>
 <li>
 In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning.
 
 
 </li>
 </ul>
 Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability.
 
 
 <ul>
 <li>
 Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling.
 </li>
 <li>
 collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services.
 </li>
 <li>
 Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence.
 </li>
 <li>
 Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques.
 </li>
 <li>
 Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD).
 </li>
 <li>
 Experience with data warehousing and data lakes solutions like BigQuery or Snowflake.
 </li>
 <li>
 Familiarity with real-time data processing and streaming analytics.
 </li>
 <li>
 Passion for learning and staying at the forefront of data science and machine learning advancements.
 </li>
 </ul>
</div>

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

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 Computer Scientist I &ndash; Adobe Experience Platform
 
 
 Our Company
 
 
 At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. Adobe is listed as Fortune&rsquo;s &ldquo;100 Best Companies to Work For&rdquo; for 20 consecutive years. You will also be surrounded by colleagues who are committed to helping each other grow. If you&rsquo;re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give global brands everything they need to design and deliver exceptional digital experiences. We&rsquo;re passionate about redefining how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
 
 
 The Opportunity
 
 
 Adobe is redefining customer intelligence. We help enterprises understand their customers deeply&mdash;what they value, what they need&mdash;and translate that understanding into meaningful, personalized experiences.
 
 
 The
 
 Adobe Experience Platform (AEP)
 
 is at the heart of this mission, powering data integration, governance, advanced analytics, and intelligent services at global scale. Our next chapter focuses on
 
 agent-driven AI systems
 
 &mdash;autonomous, adaptive agents that orchestrate complex workflows, learn from data, and deliver real-time insights and actions.
 
 
 At the core lies our
 
 Enterprise Knowledge Base
 
 , a foundational platform that unifies structured, unstructured, and semi-structured data. This system fuels advanced AI and Generative AI applications across Adobe&rsquo;s digital marketing ecosystem&mdash;empowering customers to unlock richer, more intelligent experiences.
 
 
 We are looking for someone who thrives on solving hard problems, scaling intelligent systems, and creating measurable impact. You&rsquo;ll lead the design and development of low-latency, high-throughput services that power intelligent enterprise experiences across millions of users worldwide.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Lead the technical design and implementation strategy for major systems and components of AEP Knowledge Base and the Agentic ecosystem.
 </li>
 <li>
 Strong background in distributed storage (Delta Lake, Iceberg), compute (Spark), data warehousing (Snowflake, BigQuery, Redshift) and cloud services (Azure, AWS, GCP).
 </li>
 <li>
 Knowledge of Vector Stores (FAISS, Pinecone, Weaviate, Milvus).
 </li>
 <li>
 Optimize for quality of data, low latency, high reliability and scalability across enterprise environments.
 </li>
 <li>
 Establish best practices for evaluation, safety, and guardrails for system behavior.
 </li>
 <li>
 Collaborate with research and product teams to integrate modern capabilities into the Platform.
 </li>
 <li>
 Mentor engineers and drive technical excellence in building production-grade systems.
 
 
 </li>
 </ul>
 What you will need to succeed
 
 
 <ul>
 <li>
 5+ years in design and development of large scale data intensive distributed systems.
 </li>
 <li>
 In depth work experience on technologies like Apache Spark, Delta Lake, Snowflake, Kubernetes, etc.
 </li>
 <li>
 Hands-on experience with public cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Strong background in relational databases (PostgreSQL, MySQL).
 </li>
 <li>
 Proficiency in Java, Scala, or Python, and a deep understanding of algorithms and data structures.
 </li>
 <li>
 A strong sense of ownership and cost-conscious design for compute and memory efficiency.
 </li>
 <li>
 Excellent communication skills and the ability to collaborate effectively with multi-functional teams.
 </li>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Computer Science or a related technical field with equivalent experience.
 
 
 </li>
 </ul>
 Why Adobe
 
 
 At Adobe, you&rsquo;ll work in a culture that values creativity, collaboration, and continuous learning. Our
 
 Check-In
 
 approach fosters open feedback, career growth, and shared success.
 
 
 If you&rsquo;re ready to shape the future of AI-powered customer experiences and make a global impact&mdash;
 
 Adobe is the place for you.
 
 
 
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Computer Scientist-I

HackerRank

<div>
 HackerRank helps thousands of companies like OpenAI, NVIDIA, Amazon hire developers based on their skills vs pedigree, and also nurtures a community of millions of developers to upskill themselves to become the next-gen developers.
 
 
 The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality is a tradeoff. At HackerRank, it&rsquo;s not -- we expect you to ship in about half the time that most competent people think it&rsquo;s possible while maintaining a standard of quality you&rsquo;d proudly sign your name on. The only way to make this happen is if you truly love your craft and are deeply committed to growth.
 
 
 
 About The Role
 
 
 
 We are seeking a Staff AI Scientist with deep expertise in machine learning fundamentals and a proven track record of building and evaluating advanced AI systems. This role is for someone who thrives at the intersection of data science, statistics, and ML engineering, with an emphasis on dataset rigor, metric design, and evaluation methodology.
 
 
 At the staff level, you will set the direction for how we evaluate AI systems, work across teams to ensure scientific rigor is balanced with product and engineering needs, and deliver both datasets and pipelines that stand up to scrutiny.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Dataset Preparation &amp; Evaluation
 </li>
 <ul>
 <li>
 Design, prepare, and curate high-quality evaluation datasets with defensible methodology.
 </li>
 <li>
 Define criteria for dataset construction, ensuring statistical rigor, reproducibility, and fairness.
 </li>
 <li>
 Develop new metrics and evaluation frameworks to measure model performance in nuanced ways.
 </li>
 </ul>
 <li>
 Model Evaluation &amp; ML Engineering
 </li>
 <ul>
 <li>
 Evaluate LLMs and other pre-trained models using carefully chosen datasets and metrics.
 </li>
 <li>
 Build scalable pipelines for training, fine-tuning, and benchmarking models.
 </li>
 <li>
 Contribute to projects involving fine-tuning, retrieval-augmented generation (RAG), and other adaptation methods.
 </li>
 </ul>
 <li>
 Cross-Functional Leadership
 </li>
 <ul>
 <li>
 Partner with product and engineering to align scientific rigor with business outcomes.
 </li>
 <li>
 Define evaluation standards and ML lifecycle practices that raise the bar across the company.
 </li>
 <li>
 Mentor scientists and engineers, guiding best practices in experimentation, statistics, and ML development.
 
 </li>
 </ul>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Education: Master&rsquo;s degree (PhD preferred) in Computer Science, Statistics, Machine Learning, or a related quantitative field.
 </li>
 <li>
 Strong background in mathematical and statistical foundations of machine learning (probability, linear algebra, optimization, experimental design).
 </li>
 <li>
 Demonstrated experience in end-to-end ML lifecycle: dataset preparation, model training, evaluation, deployment, and monitoring.
 </li>
 <li>
 Proven expertise in evaluation dataset design and metric creation, not just using existing benchmarks but knowing when and how to improve them.
 </li>
 <li>
 Experience with LLM evaluation, fine-tuning, and RAG, with the engineering skills to build production-ready pipelines.
 </li>
 <li>
 Track record of strategic impact at a staff or principal level setting evaluation and research standards across teams.
 
 
 </li>
 </ul>
 
 Even better if you have
 
 
 
 <ul>
 <li>
 Publications, open-source contributions, or widely adopted benchmarks in ML/AI.
 </li>
 <li>
 Prior experience shaping AI evaluation frameworks at an organizational or industry level.
 </li>
 <li>
 Comfort working at the interface of science, engineering, and product.
 
 
 </li>
 </ul>
 
 You will thrive in role if
 
 
 
 <ul>
 <li>
 You define gold-standard evaluation datasets and metrics that internal teams adopt as a standard.
 </li>
 <li>
 You ship datasets and pipelines that are statistically rigorous, reproducible, and scalable.
 </li>
 <li>
 You elevate the organization&rsquo;s ML practice by embedding sound statistical and scientific methodology into product and engineering work.
 </li>
 <li>
 You are recognized as a thought leader who sets strategy while still contributing technically at depth.
 
 
 </li>
 </ul>
 
 Want to learn more about HackerRank?
 
 Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
 
 
 HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
 
 
 Linkedin |X | Blog | Instagram | Life@HackerRank|
 
 
 
 Notice To Prospective HackerRank Job Applicants
 
 
 
 <ul>
 <li>
 Our Recruiters use @hackerrank.com email addresses.
 </li>
 <li>
 We never ask for payment or credit check information to apply, interview, or work here.
 </li>
 </ul>
</div>

Staff AI Scientist

Explore 71+ Senior data scientist in Bangalore this November. Find roles across top companies and apply now to boost your career.

71 senior data scientist jobs IN Bangalore

Data Scientist

Data Scientist

Data Science Business Sr. Consultant (BY/o9)

Data Scientist

Staff Data Scientist I - Python, R & ML

Computer Scientist-I

Staff AI Scientist