CrawlJobs Logo

Senior Data Science

https://www.microsoft.com/ Logo

Microsoft Corporation

Location Icon

Location:
India , Bangalore

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Every day at Microsoft, we bring an insatiable curiosity to our work, continually challenging ourselves to rethink what is possible and to push beyond existing boundaries. We build on past innovations to create what comes next—shaping the future and empowering billions of people around the world. Online advertising is one of the fastest‑growing sectors of the internet economy today. Search engines, web publishers, major advertising networks, and ad exchanges serve billions of ad impressions daily, generating terabytes of user interaction data in the process. This rapid expansion has created significant opportunities, alongside complex technical challenges that require intelligent, scalable solutions. The field of computational advertising has emerged as a multidisciplinary field that draws on information retrieval, data mining, machine learning, statistical modeling, optimization, linear algebra, and microeconomics to address the demanding problems inherent in modern online advertising. We are a team that focuses on keeping the Microsoft Advertising ecosystem safe for users and compliant with policies.

Job Responsibility:

  • Analyze revenue and quality impact of change in models or policies used to evaluate Ads
  • Perform exploratory analyses to react to emergent threats to suggest approaches to deal with them
  • Productionize analyses into dashboards for monitoring and alerting
  • Ability to independently run analyses and investigations
  • Inclination to explore mechanisms to automate analysis steps, undertake engineering orchestration

Requirements:

  • 6+ years of relevant experience
  • Bachelor’s or Master’s degree in a STEM or Business-related field with strong emphasis on data analytics
  • Knowledge of SQL or something similar
  • Knowledge of Python and/or R in general coding as well as in data analysis
  • Good verbal and written communication skills
  • Technical competence & strong analytical skills

Nice to have:

  • Knowledge of basic and/or advanced statistical methods / knowledge of machine learning disciplines
  • Having worked in a web search related company

Additional Information:

Job Posted:
March 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Data Science

Senior Manager Data Science, Finance

Seasoned and strategic leader to build and guide Finance Data Science team, resp...
Location
Location
United States , San Francisco
Salary
Salary:
254000.00 - 299000.00 USD / Year
https://checkr.com Logo
Checkr
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in a quantitative field like Statistics, Computer Science, Economics, or equivalent experience
  • 10+ years of experience in data science or quantitative roles with progression of impact and seniority
  • 3+ years of direct people management experience
  • Deep expertise in SQL, Python, modern ELT and data transformation frameworks (e.g. dbt), key ML and forecasting techniques
  • Demonstrated ability to develop and execute strategic vision and multi-quarter roadmap for data science function
  • Exceptional stakeholder management and communication skills with ability to influence executive leaders
  • Strong business acumen with experience applying data science to solve complex financial problems in B2B or SaaS environment
Job Responsibility
Job Responsibility
  • Team Leadership & Development: Hire, mentor, and grow high-performing team of data scientists and analysts
  • Strategic Planning & Vision: Define and own roadmap for Finance Data Science team
  • Executive Stakeholder Management: Serve as primary data science partner to Finance leadership team
  • Oversee Financial Modeling & Forecasting: Guide team in developing models to forecast revenue, costs, and key business metrics
  • Drive Business Performance & Insights: Lead deep-dive analyses into business trends, unit economics, pricing, and new ventures
  • Technical Excellence: Set bar for technical rigor ensuring modeling, analysis, and data pipelines are robust and production-ready
What we offer
What we offer
  • Learning and development allowance
  • Competitive cash and equity compensation
  • 100% medical, dental, and vision coverage
  • Up to $25K reimbursement for fertility, adoption, and parental planning services
  • Flexible PTO policy
  • Monthly wellness stipend
  • Home office stipend
  • Lunch four times a week
  • Commuter stipend
  • Snacks and beverages
  • Fulltime
Read More
Arrow Right

Senior Data Science Solution Architect

The consultant will need to have extensive experience working across Microsoft e...
Location
Location
United States , Irving
Salary
Salary:
Not provided
hireitpeople.com Logo
Hire IT People, Inc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience working across Microsoft environments utilizing Azure Cloud Solutions
  • Broad skill set encompassing SQL, Python, Dataiku, Alation, Databricks, Snowflake, Power BI, Tableau, AWS and Azure Clouds
  • Strong experience creating design documentation, and knowledge-based artifacts
  • Prior experience working with Accounting and Finance Leaders, as well as Sales and Operations Leaders – with an understanding of financial data and operational data (job coding, vendor data, costs, etc)
  • Expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert
  • Prior expertise from the Center of Excellence for Data, AI and ML
  • Minimum qualification is a bachelor's degree or equivalent in engineering or equivalent in a related field or a foreign equivalent is required closely related field with relevant experience
Job Responsibility
Job Responsibility
  • Work in collaboration with the business operations leaders to gain insight to how the company utilizes their data, uncover additional needs, and ultimately build an enhanced and scalable environment to meet business initiatives
  • Data Analysis and Data engineering: Utilizing tools and technologies like SQL and Python for data analysis and engineering tasks
  • Implementing data engineering activities using platforms like Databricks and Snowflake
  • Data Science Methodologies: Applying data science methodologies, using Python and tools like Dataiku for data science workflows
  • Apply Machine Learning strategies and models for a better Model deployment and pipelines
  • Data Governance: Serving as subject matter expert in Data Governance, leveraging Alation to manage and Govern Data effectively by doing data cataloging and stewardship
  • Team Leadership: Acting as a team or technical lead, responsible for Overseeing and delivering the team's work in data engineering and analysis
  • Dashboard Creation: Creating dashboards using visualization tools such as Power BI, Tableau and Microsoft suite
  • Cloud Services: Leveraging Amazon web services (S3, IAM, Redshift, Cloudwatch, Glue, Sagemaker,etc.. ) and Azure( Microsoft Fabric, Azure Data Factory,SQL Server,Azure SQL,SSAS,Synapse,Power BI) Cloud Services to implement and deliver business activities along with compliance, Security, Disaster recovery , testing and Devops
  • Assist the team or firm with the expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert
Read More
Arrow Right

Senior Data Science Analyst

The Data Science Senior Analyst is a seasoned professional role. Applies in-dept...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-8 years experience in business and data analysis, process improvement and project management
  • Ability to effectively use complex analytical, interpretive and problem solving techniques
  • Demonstrated interpersonal, verbal and written communication skills
  • Methodical attention to detail
  • Experience using tools for statistical modeling of large data sets
  • Hands on coding experience with Python, SQL is mandatory (proficiency with Libraries such as Pandas, NumPy required)
  • Experience using tools for statistical modeling of large data sets
  • Expert background in utilizing SQL/Python to extract, manipulate, and analyze datasets
  • Preferable experience with tools such as Tableau, PySpark, Airflow, Git, JIRA and Confluence
  • Experience in Data Modelling, ETL technologies, Data pipeline
Job Responsibility
Job Responsibility
  • Developing and implementing advanced analytical models and solutions
  • Strong coding skills:Proficiency in Python, PySpark, and SQL for data analysis and model development
  • Big data expertise:Working knowledge of big data platforms like Cloudera and Databricks
  • Model development:Experience in building and deploying machine learning and AI models
  • Generative AI knowledge:Familiarity with generative AI techniques and their applications
  • Collaboration:Working with cross-functional teams to identify opportunities and deliver data-driven insights
  • Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
  • Mines and analyzes data from various banking platforms to drive optimization and improve data quality
  • Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
  • Consults with business clients to determine system functional specifications
What we offer
What we offer
  • Extensive on-the-job training and exposure to senior leaders
  • More traditional learning
  • Opportunity to give back and make a positive impact through volunteerism
  • Fulltime
Read More
Arrow Right

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...
Location
Location
United States , Bethesda, MD
Salary
Salary:
52.06 - 82.45 USD / Hour
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
  • Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
  • Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
  • Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
  • Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement
Job Responsibility
Job Responsibility
  • Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
  • Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
  • Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
  • Develop and implement segmentation and modeling strategies
  • Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
  • Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
  • Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
  • Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
  • Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
  • Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows
What we offer
What we offer
  • Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts
  • Fulltime
Read More
Arrow Right

Senior Manager, Forward-Deployed Data Science

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insi...
Location
Location
Ireland; United Kingdom , Dublin; London
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven ability to drive strategic, data-driven outcomes in complex, real-world business environments - ideally in customer-facing or enterprise contexts
  • Strong leadership in ambiguous, high-stakes environments - able to set strategy, prioritize, and guide a team through fast-evolving challenges and opportunities
  • Deep customer empathy and executive communication skills, with the ability to influence senior stakeholders, guide AI adoption strategy, and simplify complexity
  • Track record of building and scaling technical solutions using AI/ML, especially in areas like LLM applications, conversational AI, or intelligent automation
  • Strong SQL and fluency in Python/R, with experience applying analytical, statistical, and AI/ML techniques to business problems
  • Experience evaluating and deploying LLM-driven or conversational AI systems, including measurement frameworks and reliability assessments
  • Demonstrated ability to prototype quickly, balancing rigor with speed to accelerate customer outcomes
Job Responsibility
Job Responsibility
  • Drive the adoption of Fin by helping customers automate and scale their support operations
  • Embed with strategic customers to understand their support workflows, data, and business challenges - to identify and implement opportunities where AI can deliver measurable impact
  • Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin
  • Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development
  • Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact
What we offer
What we offer
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work!
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • Cycle-to-Work Scheme
  • MacBooks are our standard, but we also offer Windows for certain roles when needed
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Senior Medical Data Scientist will play a vital role in supporting Global Me...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 2+ year(s) of experience in data analytics or data science
  • OR, Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science
  • OR, Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 7+ years of experience in data analytics or data science
  • Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification
  • Demonstrated hands-on expertise in data science, statistical modeling, machine learning, advanced predictive modeling, NLP, or related fields, with successful delivery of end-to-end solutions
  • Advanced programming in SQL and Python (R a plus)
  • comfort working in Databricks or similar environments
  • Strong storytelling and presentation skills
  • ability to translate data into clear, compelling insights
Job Responsibility
Job Responsibility
  • Design and build high-impact projects that address complex medical questions across therapeutic areas, applying advanced data science methods (predictive modeling, NLP, LLMs, machine learning, causal inference)
  • Conduct end-to-end data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms
  • Drive the design, application, and evaluation of test-and-learn approaches — including causal inference methods, advanced A/B testing, and pilots, with accountability for methodological rigor and actionable insights
  • Partner with business leaders and stakeholders to define problem statements, set project scope, and design and conduct medical data science projects such as MSL engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities
  • Design and optimize scalable data pipelines in collaboration with engineering teams, ensuring reproducibility, robustness, and compliance in deployment workflows
  • Translate complex model outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross-functional leadership teams
  • Serve as a technical SME (subject matter expert) in data science, providing thought influencing designing and methodology choices across the MDnA team
  • Passion to continuously learn, evaluate and introduce emerging technologies (e.g., Generative AI, LLMs, advanced A/B testing frameworks) and act as a motivational peer to strengthen Amgen’s data science toolbox
  • Maintain best practices in reproducibility, documentation, version control, and model governance across teams
Read More
Arrow Right

Senior Data Scientist

Senior Data Scientist role in the Technology Enablement Office, playing a pivota...
Location
Location
Greece , Athens
Salary
Salary:
Not provided
https://www.metlengroup.com Logo
Metlen Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in data science with a strong focus on predictive modeling
  • Bachelor in Computer Science, Data Science, Statistics, or a related field
  • Master's or PhD degree is a plus
  • Proven expertise in designing, deploying, and evaluating machine learning models
  • Solid background in feature engineering, model selection, hyperparameter tuning, and performance evaluation
  • Strong programming skills in Python, R, or similar languages
  • Experience with ML frameworks and understanding of Gen-AI technologies
  • Hands-on experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch
Job Responsibility
Job Responsibility
  • Community Building: Establish and nurture a strong internal data science community across METLEN sectors
  • Model Evaluation: Assess and validate AI/ML models developed internally or by external vendors
  • Technology Scouting: Stay updated on the latest AI and Gen-AI advancements and recommend innovative technologies
  • Cross-functional Collaboration: Partner with business units, IT teams, and external stakeholders to translate complex data challenges into actionable insights
  • Governance & Best Practices: Contribute to data science standards, model governance frameworks, and responsible AI practices
What we offer
What we offer
  • Competitive remuneration package
  • Ticket Restaurant Card
  • Group Health Insurance Plan
  • Preferential household electricity plan
  • Pension Plan
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Location
Location
India , Bengaluru
Salary
Salary:
Not provided
adm.com Logo
ADM
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. Master’s degree or Ph.D. is a plus
  • 7+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes
  • Proficient in Python, R, and SQL for data analysis, modeling, and data pipeline development
  • Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec etc
  • Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark)
  • Strong understanding of both supervised and unsupervised learning models and techniques
  • Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs
  • Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value
  • Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment
Job Responsibility
Job Responsibility
  • Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives
  • Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes
  • Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc
  • Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions
  • Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration
  • Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems
  • Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems
  • Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks
  • Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact
  • Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives
Read More
Arrow Right