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analytical data scientist

Data Scientist, Product Analytics

Yulu

<div>
 
 
 About Yulu
 
 
 
 Yulu is India&rsquo;s leading shared micro-mobility platform, revolutionizing urban transportation through smart, sustainable, and electric-first mobility solutions. With a rapidly growing fleet of tech-enabled electric two-wheelers and a robust battery-swapping infrastructure, Yulu makes last-mile commutes not only efficient but also planet-friendly.
 
 
 Our IoT-driven platform and smart electric vehicles are helping cities reduce traffic congestion and carbon emissions while empowering millions with affordable and reliable transportation.
 
 
 Backed by industry giants like Bajaj Auto and Magna International, Yulu operates at the intersection of mobility, technology, and sustainability. Our mission is to reduce congestion, cut emissions, and transform how India moves &mdash; one ride at a time.
 
 
 With millions of rides completed, thousands of EVs on the road, and a rapidly expanding footprint, we&rsquo;re not just building EVs &mdash; we&rsquo;re building the future of urban mobility in India.
 
 
 
 
 
 🔗 Learn more: www.yulu.bike
 
 
 
 
 
 
 Role Summary
 
 
 
 Yulu is looking for a
 
 Data Scientist
 
 to work on developing and refining statistical models and Machine Learning algorithms to address real-world challenges. You will collaborate with cross-functional teams to identify analytical needs, perform exploratory data analysis, and optimize model performance. The role also involves building and maintaining data pipelines, ensuring data quality, and staying up-to-date with emerging AI/ML technologies. If you are passionate about using data to solve impactful problems and transform urban mobility, join us in our mission to reduce traffic congestion and air pollution!
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collect, clean, and preprocess data from diverse sources to ensure quality and accuracy.
 </li>
 <li>
 Develop and refine statistical models and Machine Learning (ML) algorithms to solve real-world problems.
 </li>
 <li>
 Collaborate with cross-functional teams (e.g., data engineering, product, and business) to identify and understand analytical needs.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships in datasets.
 </li>
 <li>
 Evaluate model performance using appropriate metrics, and iterate to optimize accuracy and efficiency.
 </li>
 <li>
 Document analyses, methodologies, and best practices to maintain clear records for future reference.
 </li>
 <li>
 Stay up-to-date with emerging AI/ML technologies and actively explore new approaches&mdash;especially in the areas of deep learning, Generative AI, and Large Language Models (LLMs).
 </li>
 <li>
 Present findings and insights to both technical and non-technical stakeholders in a clear, concise manner.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong grounding in statistics, math, and machine learning
 </li>
 <li>
 Hands-on Python: pandas, NumPy, scikit-learn
 </li>
 <li>
 Comfortable working with data in
 
 SQL and/or pandas
 
 (joins, windows, groupbys)
 </li>
 <li>
 Clear written and verbal communication
 </li>
 <li>
 Experience with GenAI/LLMs (prompts, embeddings, simple RAG)
 </li>
 <li>
 Visualization: Streamlit, Matplotlib/Seaborn (or Plotly)
 </li>
 <li>
 Operations Research basics: vehicle routing, task assignment (e.g.,
 </li>
 <li>
 Hungarian), Job Scheduling
 </li>
 <li>
 Good software habits: Git, environments, basic tests; any cloud/warehouse exposure
 </li>
 </ul>
 
 
 
 
 
 We assure you
 
 
 <ul>
 <li>
 Be a part of an innovative company that values professional growth, trustworthy colleagues, a fun environment in the office, and well-being for the employees
 </li>
 <li>
 A culture that fosters growth, integrity, and innovation
 </li>
 </ul>
 
 
</div>

Data Scientist

Indium

<div>
 
 
 We're Hiring: Data Scientist
 
 
 
 
 
 
 
 Exp
 
 -3-6years
 
 
 
 Location:
 
 Bangalore / Hyderabad
 
 
 
 Work Type:
 
 Full-Time | Hybrid
 
 
 
 Skills:
 
 NLP or Computer Vision - Text &amp; Image Automation, AI/ML Algorithms, Statistics, Qualitative analysis, project management
 
 
 
 Apply: Click Here
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 
 
 We are seeking a highly motivated and detail-oriented
 
 Machine Learning Engineer
 
 with expertise in
 
 ML algorithms, statistics, NLP or computer vision
 
 , and a strong inclination toward
 
 project ownership and delivery
 
 . The ideal candidate is not only technically proficient but also highly organized, hardworking, and capable of driving projects independently or as part of a collaborative team.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 machine learning models
 
 for real-world applications.
 </li>
 <li>
 Apply
 
 statistical methods
 
 and
 
 quantitative analysis
 
 to extract insights and optimize models.
 </li>
 <li>
 Build solutions in
 
 NLP or computer vision
 
 , particularly in
 
 text and image automation
 
 workflows.
 </li>
 <li>
 Work on end-to-end
 
 AI/ML project lifecycle
 
 , from problem definition to deployment and monitoring.
 </li>
 <li>
 Collaborate cross-functionally with data scientists, engineers, and stakeholders to meet project goals.
 </li>
 <li>
 Manage project timelines, track progress, and ensure timely delivery of high-quality outcomes.
 </li>
 <li>
 Demonstrate a strong work ethic, ownership mindset, and accountability throughout project execution.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 <ul>
 <li>
 Solid understanding of
 
 machine learning algorithms
 
 and statistical techniques.
 </li>
 <li>
 Experience with
 
 NLP (Natural Language Processing)
 
 or
 
 Computer Vision
 
 .
 </li>
 <li>
 Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, OpenCV, spaCy).
 </li>
 <li>
 Familiarity with
 
 data preprocessing
 
 , model evaluation, and performance tuning.
 </li>
 <li>
 Strong analytical and problem-solving skills with a data-driven mindset.
 </li>
 <li>
 Excellent project management skills &ndash; ability to multitask, prioritize, and deliver on deadlines.
 </li>
 <li>
 Self-driven and hardworking, with a proactive approach to learning and development.
 </li>
 </ul>
 
 
 
 
 
 🌟 What&rsquo;s in It for You?
 
 
 
 
 
 
 
 A Happy Workplace
 
 We go beyond the ordinary to create a fun, inclusive, and collaborative work environment.
 
 
 
 Health Comes First
 
 Medical insurance for you and your family, 1:1 mental wellness sessions, and wellness initiatives.
 
 
 
 Skill Up to Scale Up
 
 Access to
 
 Indium Academy
 
 , our internal learning platform, and continuous upskilling support.
 
 
 
 Work-Life Balance
 
 Flexible hybrid work model + plenty of destressing and employee engagement activities.
 
 
 
 
 
 
 About Indium
 
 
 -
 
 Click Here
 
 
 
 
 
 Indium Tech is a next-gen digital engineering company driving innovation across Application Engineering, Generative AI, Data &amp; AI, Cloud &amp; Product Engineering, Intelligent Automation, Low-Code Development, Gaming, and Quality Engineering.
 
 
 
 
 
 With over 25 years in the industry and a vibrant team of 5,000+ professionals across India, Indium is trusted by global enterprises to deliver cutting-edge digital solutions. Our expertise has earned us recognition from Forbes as one of the Top AI Products and Clutch a Top Data Analytics Company, and ISG as Strong Contender in Data Science Services.
 
 
 
 
 
 We're proud to be Great Place to Work certified and ranked on the Inc. 5000 list of America's fastest-growing companies.
 
 
 
 
 
 #MachineLearning#ArtificialIntelligence Let&rsquo;s build something impactful together.
 
 
 #Hiring #MachineLearning #AI #DataScience #NLP #ComputerVision #MLJobs #TechJobs #ArtificialIntelligence #Python #DeepLearning #Statistics #Automation #JoinOurTeam #CareerOpportunity#NLP#MLAlgorithms
 
</div>

<div>
 Position Description
 
 
 At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.
 
 
 This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.
 
 
 Your future duties and responsibilities
 
 
 Job Title: Data Scientist
 
 
 Position: Associate Consultant
 
 
 Experience : 4 to 7 Years
 
 
 Main location: Bangalore/Chennai/Hyderabad
 
 
 Position ID: J0825-0344
 
 
 Employment Type: Full Time
 
 
 We are seeking a talented and experienced Data Scientist / MLOps Engineer to join our team. In this role, you will be responsible for developing and operationalizing machine learning models, with a focus on NLP sentiment analysis, scoring, app recommendations, and sales forecasting. You will work closely with cross-functional teams to implement these solutions using Google Cloud services, Kubernetes, and containerization technologies.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement machine learning models for NLP sentiment analysis and scoring
 </li>
 <li>
 Create and optimize app recommendation systems using advanced ML techniques
 </li>
 <li>
 Build and maintain sales forecasting models to drive business insights
 </li>
 <li>
 Design and implement MLOps pipelines for model training, deployment, and monitoring
 </li>
 <li>
 Containerize ML applications and deploy them on Kubernetes clusters
 </li>
 <li>
 Collaborate with data engineers to design and implement data ingestion and wrangling pipelines using Google Cloud services
 </li>
 <li>
 Utilize BigQuery for large-scale data analysis and feature engineering
 </li>
 <li>
 Continuously improve model performance and operational efficiency
 
 
 </li>
 </ul>
 
 Required Qualifications To Be Successful In This Role
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 3+ years of experience in machine learning and data science roles
 </li>
 <li>
 Strong proficiency in Python and data science libraries (e.g., NumPy, Pandas, Scikit-learn)
 </li>
 <li>
 Expertise in NLP techniques and frameworks (e.g., NLTK, spaCy, Transformers)
 </li>
 <li>
 Experience with recommendation systems and time series forecasting
 </li>
 <li>
 Solid understanding of MLOps principles and practices
 </li>
 <li>
 Proficiency in Google Cloud Platform services, especially: AI/ML offerings (e.g., Vertex AI, AutoML) Data ingestion services (e.g., Cloud Dataflow, Cloud Pub/Sub) Data processing services (e.g., Dataprep, Cloud Dataproc) BigQuery for large-scale data analysis
 </li>
 <li>
 Experience with containerization (Docker) and orchestration (Kubernetes)
 </li>
 <li>
 Familiarity with CI/CD pipelines and version control systems (e.g., Git)
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with TensorFlow and/or PyTorch
 </li>
 <li>
 Knowledge of other cloud platforms (e.g., Azure, AWS) is a plus
 </li>
 <li>
 Familiarity with big data technologies (e.g., Spark, Hadoop)
 </li>
 <li>
 Experience with ML model serving frameworks (e.g., TensorFlow Serving, KFServing)
 </li>
 <li>
 Understanding of data privacy and security best practices
 </li>
 <li>
 Experience with data visualization tools (e.g., Data Studio, Looker)
 
 
 </li>
 </ul>
 Key Skills:
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Natural Language Processing
 </li>
 <li>
 Recommendation Systems
 </li>
 <li>
 Time Series Forecasting
 </li>
 <li>
 Google Cloud Platform BigQuery Cloud Dataflow Cloud Pub/Sub Dataprep Cloud Dataproc Vertex AI
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 Docker
 </li>
 <li>
 Python
 </li>
 <li>
 MLOps
 </li>
 <li>
 Data Analysis and Visualization
 </li>
 <li>
 Data Ingestion and Wrangling
 
 
 </li>
 </ul>
 
 Together, as owners, let&rsquo;s turn meaningful insights into action.
 
 
 
 Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;
 
 
 You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.
 
 
 Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
 
 
 You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
 Come join our team&mdash;one of the largest IT and business consulting services firms in the world.
 
 
</div>

NetApp

<div>
 
 About NetApp
 
 
 
 NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.
 
 
 If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.
 
 
 
 Job Summary
 
 
 
 We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Analyse large, complex datasets to extract insights and determine appropriate techniques to use.
 </li>
 <li>
 Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models.
 </li>
 <li>
 Present information using data visualization techniques.
 </li>
 <li>
 Collaborate with different teams (e.g., product development, marketing) and stakeholders to understand business needs and devise possible solutions.
 </li>
 <li>
 Stay updated with the latest technology trends in data science.
 </li>
 <li>
 Develop and implement real-time machine learning models for various projects.
 </li>
 <li>
 Engage with clients and consultants to gather and understand project requirements and expectations.
 </li>
 <li>
 Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development.
 </li>
 <li>
 Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development.
 </li>
 <li>
 Apply agile methodology in project execution, participating in sprints, stand-ups, and retrospectives to enhance team collaboration and efficiency.
 
 
 
 </li>
 </ul>
 Education
 
 
 IC - Typically requires a minimum of 5 years of related experience.Mgr &amp; Exec - Typically requires a minimum of 3 years of related experience.
 
 
 At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
 
 
 
 Equal Opportunity Employer:
 
 
 
 NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
 
 
 
 Why NetApp?
 
 
 
 We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
 
 
 We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
 
 
 If you want to help us build knowledge and solve big problems, let's talk.
</div>

BitGo

<div>
 BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.
 
 
 BitGo is looking for a
 
 Data Scientist
 
 who will join our Data Science and Analytics Team and help us continuously refine the framework that supports our growing business and make data-driven decisions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop data-driven business insights and work with cross-functional partners to find opportunities and make product and growth recommendations.
 </li>
 <li>
 Develop and standardize metrics and dashboards that would identify trends and generate hypotheses about the product through a deep understanding of the data, our customers, and our business
 </li>
 <li>
 Work collaboratively with cross-functional teams to implement solutions driven by business requirements
 </li>
 <li>
 Develop and automate reporting of key performance indicators of various BitGo&rsquo;s products and services at scale
 </li>
 <li>
 Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement
 </li>
 <li>
 Collaborate with engineering teams and stakeholders to build and improve on the availability, integrity, accuracy, and reliability of data pipelines
 </li>
 <li>
 Be a data evangelist and help BitGo improve its products and services
 
 
 </li>
 </ul>
 
 Skills &amp; Experience:
 
 
 
 We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 2+ years industry experience in data analytics field
 </li>
 <li>
 Advanced knowledge of SQL, scripting languages and database concepts
 </li>
 <li>
 The ability to clearly communicate complex results to technical and non-technical audiences
 </li>
 <li>
 Knowledge of Basic Statistics required
 </li>
 <li>
 Experience with Google Analytics / Hubspot / SEM will be a plus
 </li>
 <li>
 Experience with BI Tools (Tableau, Looker,Google Data Studio, Google Big Query)
 </li>
 <li>
 Familiarity with data warehouse development and best practices
 </li>
 <li>
 The versatility and willingness to learn new technologies on the job such as DBT, Airflow
 </li>
 <li>
 BA/BS or MA/MS degree in Mathematics, Statistics, Economics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field
 
 
 </li>
 </ul>
 
 Why Join BitGo?
 
 
 
 Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world&rsquo;s financial markets.
 
 
 Here are some of the benefits of working at BitGo:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 IT equipment support for work
 </li>
 <li>
 Meal &amp; Commute allowance
 </li>
 <li>
 Medical Insurance
 </li>
 <li>
 Attractive Well-being allowance (comprises of medical, wellness and fitness aspects)
 </li>
 <li>
 Snacks: on-the-house in the Bangalore office
 </li>
 <li>
 Great/Talented workforce to learn and grow with
 
 
 </li>
 </ul>
 
 Note:
 
 This role requires working onsite (Monday to Friday) at the Bangalore office.
 
 
 Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.
</div>

Medable, Inc

<div>
 Medable's mission is to get effective therapies to patients faster. We provide an end-to-end, cloud-based platform with a flexible suite of tools that allows patients, healthcare providers, clinical research organizations and pharmaceutical sponsors to work together as a team in clinical trials. Our solutions enable more efficient clinical research, more effective healthcare delivery, and more accurate precision and predictive medicine. Our target audiences are patients, providers, principal investigators, and innovators who work in healthcare and life sciences.
 
 
 Our vision is to accelerate the path to human discovery and medical cures. We are passionate about driving innovation and empowering consumers. We are proactive, collaborative, self-motivated learners, committed, bold and tenacious. We are dedicated to making this world a healthier place.
 
 
 <ul>
 <li>
 Responsibilities
 </li>
 <li>
 Develop and integrate algorithms for data transfers, compliance reports and other analyses that are useful for measuring the performance and/or delivering a successful clinical trial
 </li>
 <li>
 Present information in a statistically valid and impactful way using data visualization techniques and tools such as R Shiny, Looker and SpotFire
 </li>
 <li>
 Represent the Data Science team in internal and external meetings to discuss data transfer and report requirements
 </li>
 <li>
 Support Data Science process improvement activities under the guidance of the Senior Data Scientists
 </li>
 <li>
 Other duties as assigned
 </li>
 <li>
 Experience
 </li>
 <li>
 2+ years working in Data Science, Statistics or Programming role or a combination of education and experience
 </li>
 <li>
 Skills
 </li>
 <li>
 Highly analytical with a strength for analysis, math and statistics
 </li>
 <li>
 Critical thinking and problem-solving skills Experience in data processing and mining Analytical mind and business acumen Problem-solving aptitude
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Confident in data storytelling
 </li>
 <li>
 Knowledge of the drug development industry and the role data plays in clinical trials
 </li>
 <li>
 R programming language, Python, SQL, SAS required
 </li>
 <li>
 Education, Certifications, Licenses
 </li>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Statistics, Data Science or related field
 </li>
 <li>
 Travel Requirements
 
 
 </li>
 </ul>
 As required
 
 
 At Medable, we believe that our team of Medaballers is our greatest asset. That is why we are committed to your personal and professional well-being. Our rewards are more than just benefits - they demonstrate our commitment to providing an inclusive, healthy and rewarding experience for all our team members.
 
 
 
 Flexible Work
 
 
 
 <ul>
 <li>
 Hybrid from day one &ndash; we believe in creating a truly flexible employee experience
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 Competitive base salary packages
 </li>
 <li>
 Annual performance-based bonuses
 </li>
 <li>
 Employee stock options &ndash; aligning your success with Medable&rsquo;s growth
 
 
 </li>
 </ul>
 
 Health &amp; Wellness
 
 
 
 <ul>
 <li>
 Comprehensive health insurance coverage for you and your family
 </li>
 <li>
 Inclusive parental leave policy for non-birthing parents
 
 
 </li>
 </ul>
 
 Recognition
 
 
 
 <ul>
 <li>
 Peer-to-peer recognition programs to celebrate achievements and milestones
 
 
 </li>
 </ul>
 
 Community Involvement
 
 
 
 <ul>
 <li>
 Volunteer time off to support causes that matter to you
 
 
 </li>
 </ul>
 Medable is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or would like to request an accommodation due to a disability, please contact us at hr@medable.com.
</div>

Explore 357+ Analytical data scientist in Mangaluru this September. Find roles across top companies and apply now to boost your career.

357 analytical data scientist jobs IN Mangaluru

Data Scientist, Product Analytics

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist