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clinical data scientist

data scientist

Visa

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

Data Scientist

Takeda

<div>
 By clicking the &ldquo;Apply&rdquo; button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda&rsquo;s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
 
 
 
 Job Description:
 
 
 
 
 The Future Begins Here:
 
 
 
 At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
 
 
 Bengaluru, the city, which is India&rsquo;s epicenter of Innovation, has been selected to be home to Takeda&rsquo;s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
 
 
 
 At Takeda&rsquo;s ICC we Unite in Diversity:
 
 
 
 Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.
 
 
 
 The Opportunity:
 
 
 
 As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process.
 
 
 
 Objectives:
 
 
 
 As a Salesforce Data Cloud, EINSTEIN, Agentforce Software Engineer, you'll combine technical skills on Salesforce Data cloud, Agentforce(GENETIC AI) ,business acumen and development qualities to build solutions that enable transformative capabilities within Takeda. You will support the Platform Owner in onboarding and facilitating the effective utilization of these platforms. You will play a key role in developing and building GENAI use cases leveraging LLM(Open-AI, chatGpt4.0 etc), Salesforce Data cloud, EINSTEIN and Agentforce .
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Act as the technical developer for building agentic UI experience for our commercial and medical users
 </li>
 <li>
 Clarification of technical details in backlog items and technical design and build of backlog items.
 </li>
 <li>
 Set standards &amp; best practices within capability, and encourage adherence to those.
 </li>
 <li>
 Proactively address any risks &amp; issues together with the team, and raise to program/portfolio oversight, as required
 </li>
 <li>
 Ensure appropriate level of technical documentation.
 </li>
 <li>
 Cross-pollination of applicable standards &amp; practices between teams.
 </li>
 <li>
 Discussion on business requirements with stakeholders.
 </li>
 <li>
 Pro-active suggestions of new features or tools.
 </li>
 <li>
 Alignment &amp; communication with other service lines on overarching practices &amp; approaches.
 </li>
 <li>
 Ensure re-useability of features within business functions.
 </li>
 <li>
 Build and optimize generative AI applications using models like GPT, LLaMA, Gemini, OpenAI or custom models
 </li>
 <li>
 Create effective prompts and fine-tune models for specific domains, ensuring high accuracy and relevance.
 </li>
 <li>
 Develop APIs, microservices, and integrate generative AI models into production environments.
 </li>
 <li>
 Collect, clean, and preprocess datasets for model training and evaluation.
 </li>
 <li>
 Conduct experiments with various model architectures, hyperparameters, and training strategies to enhance performance.
 </li>
 <li>
 Work closely with product managers, data scientists, and engineers to define requirements and deliver AI-powered solutions.
 </li>
 <li>
 Implement AI governance, bias detection, and responsible AI practices in accordance with ethical and regulatory standards.
 </li>
 <li>
 Keep up with the latest research and advancements in generative AI, NLP, and multimodal AI technologies.
 </li>
 <li>
 Should understand capabilities of salesforce agentforce and datacloud.
 
 
 </li>
 </ul>
 
 EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related study, or equivalent experience
 </li>
 <li>
 3+ years of relevant professional experience in working in native UI/UX capabilities(react.js. HTML. CSS)
 </li>
 <li>
 Strong understanding of UI Framework(Bootstrap, Material UI, Semantic UI)
 </li>
 <li>
 Experience in salesforce data cloud and Agentforce,
 </li>
 <li>
 Proficiency in
 
 Python:
 
 , TensorFlow, PyTorch, or similar ML frameworks.
 </li>
 <li>
 Experience with
 
 Large Language Models (LLMs):
 
 ,
 
 transformers:
 
 , and
 
 generative architectures:
 
 </li>
 <li>
 Knowledge of
 
 prompt engineering:
 
 and
 
 fine-tuning techniques:
 
 .
 </li>
 <li>
 Familiarity with
 
 APIs:
 
 , REST, and microservice development.
 </li>
 <li>
 Experience in Agile development using agile methods like Scrum and/or Kanban
 </li>
 <li>
 Excellent oral and written communication skills, business acumen, and enterprise knowledge.
 </li>
 <li>
 Strong experience in design or in implementing solutions or products and preferable experience in quality improvement.
 </li>
 <li>
 Understand design thinking and can explain and convince stakeholders.
 </li>
 <li>
 Understands pharma and experience working in AI space with pharma customers
 </li>
 <li>
 Work with virtual/agile teams in different locations, aligning and adapting different work, culture, and communication styles
 </li>
 <li>
 Proficiency in English in both verbal and written communication is a must.
 
 
 </li>
 </ul>
 
 WHAT TAKEDA CAN OFFER YOU:
 
 
 
 <ul>
 <li>
 Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
 </li>
 <li>
 At Takeda, you take the lead on building and shaping your own career.
 </li>
 <li>
 Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.
 
 
 </li>
 </ul>
 
 BENEFITS:
 
 
 
 It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are
 
 
 <ul>
 <li>
 Competitive Salary + Performance Annual Bonus
 </li>
 <li>
 Flexible work environment, including hybrid working
 </li>
 <li>
 Comprehensive Healthcare Insurance Plans for self, spouse, and children
 </li>
 <li>
 Group Term Life Insurance and Group Accident Insurance programs
 </li>
 <li>
 Health &amp; Wellness programs including annual health screening, weekly health sessions for employees.
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
 </li>
 <li>
 Broad Variety of learning platforms
 </li>
 <li>
 Diversity, Equity, and Inclusion Programs
 </li>
 <li>
 Reimbursements &ndash; Home Internet &amp; Mobile Phone
 </li>
 <li>
 Employee Referral Program
 </li>
 <li>
 Leaves &ndash; Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)
 
 
 </li>
 </ul>
 
 ABOUT ICC IN TAKEDA:
 
 
 
 <ul>
 <li>
 Takeda is leading a digital revolution. We&rsquo;re not just transforming our company; we&rsquo;re improving the lives of millions of patients who rely on our medicines every day.
 </li>
 <li>
 As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.
 
 
 </li>
 </ul>
 
 Locations:
 
 
 
 IND - Bengaluru
 
 
 
 Worker Type:
 
 
 
 Employee
 
 
 
 Worker Sub-Type:
 
 
 
 Regular
 
 
 
 Time Type:
 
 
 
 Full time
</div>

Axtria - Ingenious Insights

<div>
 
 
 Core Responsibilities:
 
 As a Clinical Data Scientist, you will independently perform data analysis, data mining on various clinical trial data sources. You will develop, test, productionize and maintain AI/ML/GenAI models. You will leverage cloud-based solutions for scalable data processing and collaborate with cross-functional teams to deliver cutting edge data science solutions.
 
 
 
 
 
 
 Skills and Experience
 
 :
 
 
 
 
 
 
 Domain Experience:
 
 
 <ul>
 <li>
 Should have knowledge of Clinical R&amp;D domain with hands on experience on data sources from one more clinical business functions e.g. Clinical Operations, Biometrics, Drug Safety, Medical Affairs, Real-World Data (RWD), Laboratory data, Regulatory data sources etc.
 </li>
 <li>
 Should have good understanding and hands-on experience on curating, analyzing, and mining data from very clinical data sources e.g. CTMS, EDC, IRT, Labs, EHR kind RWD sources. Should have working knowledge of CDISC clinical data standards e.g. CDASH, SDTM, ADaM, FHIR etc.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficient in developing models with Python/PySpark. Experience with Databricks or Dataiku DSS (Data Science Studio) platforms would be an advantage. Highly skilled in creating, testing, deploying, and maintaining state of the art AI/ML/GenAI solutions.
 </li>
 <li>
 Skilled in statistical and probabilistic methods e.g. SVM, Decision-Trees, Bagging, Boosting, Clustering, Time Series Analysis etc. Experience in core NLP techniques e.g. Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc.
 </li>
 <li>
 Experience/knowledge of LLMs, LSTMs, GRUs, transformers will be an advantage. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence is expected. A good understanding of any of the cloud platforms &ndash; AWS, Azure or GCP.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including clinical data engineers, clinical data modelers, front end developers, QA/CSV specialists, clinical SMEs, project managers, and cloud/infrastructure professionals, to understand project requirements and deliver high-quality solutions.
 </li>
 <li>
 Maintain thorough documentation of methodologies, processes, and results of the models. Prepare and present detailed reports on assigned projects to stakeholders, including client and internal leadership illustrating the impact and effectiveness of data-driven strategies.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Gurugram, Noida, Bengaluru, Hyderabad, Pune
 
 
 
 
 
 
 Qualifications:
 
 
 <ol>
 <li>
 A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Life Sciences, or a strong experience in clinical data science is preferred.
 </li>
 <li>
 At least 8 years of hands-on experience in data analysis, data mining, and predictive analytics, preferably within the context of clinical R&amp;D.
 </li>
 <li>
 Strong understanding of clinical R&amp;D processes in life sciences organizations and the data and technologies used in these processes.
 </li>
 <li>
 Proven programming skills in Python/PySpark. Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or Scikit-learn.
 </li>
 <li>
 Proficiency in using analytical and data visualization tools such as SQL, Tableau, Power BI, or similar platforms.
 </li>
 <li>
 Excellent communication skills with the ability to convey complex data-driven insights to non-technical stakeholders.
 </li>
 <li>
 Results-oriented mindset, with a focus on defining and measuring success and delivering tangible outcomes.
 </li>
 <li>
 High ethical standards and integrity, with a commitment to compliance and transparency.
 </li>
 </ol>
</div>

Clinical Data Scientist

Data Scientist, Product Analytics

Definitive Healthcare

<div>
 Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what&rsquo;s now to what&rsquo;s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we&rsquo;d love to hear from you.
 
 
 
 Role
 
 : Data Scientist / Senior Data Scientist
 
 
 
 Reports to
 
 : Associate Principal / Principal
 
 
 
 Profession
 
 : Data Science
 
 
 
 Office Location
 
 : Bangalore
 
 
 
 Job Description
 
 
 
 This position requires strong coding skills and experience in data handling and wrangling using Python. The candidate will work hands-on with projects in areas such as advanced analytics, generating reports and metrics from large, complex datasets, and solution workbenches. The role involves using a wide range of quantitative and analytical techniques to support clients in improving their business decisions.
 
 
 Additionally, the candidate will be involved in sales and marketing projects, including multi-channel marketing effectiveness, campaign performance analysis, marketing mix modeling, attribution, conversion rate optimization, segmentation, response modeling, and designing experiments (test/control analysis).
 
 
 The ideal candidate should have the ability to understand business contexts and apply relevant statistical and AI/ML tools and techniques to assigned projects. They should also have a keen aptitude for deriving insights from data, a willingness to learn data-handling tools and methods, and an openness to working within the healthcare domain. Familiarity with, or the ability to quickly learn, quantitative and analytical techniques to aid client decision-making is essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise in custom projects focused on prescription and claims-based reporting and modeling using
 </li>
 <li>
 Partner with the Product and Customer Success teams to deliver informed analyses to customers.
 </li>
 <li>
 Create deliverables to assist with customer engagements.
 </li>
 <li>
 Collaborate with fellow team members to implement optimized solutions.
 </li>
 <li>
 Contribute to internal projects and processes.
 </li>
 <li>
 Collaborate with global team to create deliverables.
 </li>
 <li>
 Mentor junior analysts and help drive best practices.
 </li>
 <li>
 Independently scope client requests
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Experts with approximately 2 - 5 years of experience specializing in Python
 </li>
 <li>
 Educational background in Engineering, Operations Research, Econometrics and/or Statistics
 </li>
 <li>
 Hands-on experience with Python is mandatory.
 </li>
 <li>
 Must possess good interpersonal skills along with excellent presentation and communication skills.
 </li>
 <li>
 Proficient in Microsoft Excel and SQL.
 </li>
 <li>
 Ability to work with large data, think out of the box, assess current processes and offer ideas for improvement.
 </li>
 <li>
 Knowledge of Pharma datasets is good to have.
 
 
 </li>
 </ul>
 
 ISMS Responsibilities
 
 
 
 <ul>
 <li>
 Comply with information security policies and processes
 </li>
 <li>
 Report security weaknesses, events or potential events, or other security risks, to the organization
 </li>
 <li>
 Execute all tasks related to information security management system as appropriate
 
 
 </li>
 </ul>
 
 Why we love Analytical Wizards, and why you will too!
 
 
 
 <ul>
 <li>
 Industry leading products
 </li>
 <li>
 Work hard, and have fun doing it
 </li>
 <li>
 Incredibly fast growth means limitless opportunity
 </li>
 <li>
 Flexible and dynamic culture
 </li>
 <li>
 Work alongside some of the most talented and dedicated teammates
 </li>
 <li>
 A collaborative and friendly culture with very high employee engagement
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 <ul>
 <li>
 Company Name: AnalyticalWizards Services Pvt. Ltd.
 </li>
 <li>
 Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.
 </li>
 <li>
 Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning
 </li>
 <li>
 Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068
 </li>
 <li>
 Industry: Software Development and Data Science
 </li>
 </ul>
</div>

Data Scientist/Sr. Data Scientist-Data Science-AA&I

PwC Acceleration Center India

<div>
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
 
 
 The Opportunity
 
 
 When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you&rsquo;ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You&rsquo;ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
 
 
 As part of the AI Engineering team you will design and deliver scalable AI applications while conducting applied research in Generative AI and深度学习. As an Associate you will focus on learning and contributing to projects, developing your skills and knowledge to deliver quality work while building meaningful client connections and navigating complex situations. This role offers the chance to work with advanced technologies and be part of a impactful team dedicated to driving enterprise innovation.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement scalable AI applications
 </li>
 <li>
 Conduct applied research in Generative AI and advanced learning
 </li>
 <li>
 Collaborate with team members to enhance project outcomes
 </li>
 <li>
 Develop technical skills to support project tasks
 </li>
 <li>
 Build and maintain relationships with clients
 </li>
 <li>
 Analyze data to derive insights and inform decisions
 </li>
 <li>
 Adapt to evolving technologies and methodologies
 </li>
 <li>
 Contribute to a significant team focused on innovation
 
 
 </li>
 </ul>
 What You Must Have
 
 
 <ul>
 <li>
 Master's Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, Informatics
 </li>
 <li>
 2 years of experience
 </li>
 <li>
 Oral and written proficiency in English required
 
 
 </li>
 </ul>
 What Sets You Apart
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Engineering preferred
 </li>
 <li>
 Proficiency in Python and data science libraries
 </li>
 <li>
 Experience with Generative AI and prompt engineering
 </li>
 <li>
 Knowledge of NLP techniques and transformer architectures
 </li>
 <li>
 Familiarity with cloud platforms, preferably Azure
 </li>
 <li>
 Understanding of production-level AI systems
 </li>
 <li>
 Experience with Docker and containerized deployments
 </li>
 <li>
 Desire to innovate and automate processes
 </li>
 <li>
 A mindset of continuous learning and technical curiosity
 </li>
 </ul>
</div>

Data Scientist- Associate 2

MakeMyTrip

<div>
 MakeMyTrip data science group is looking for experienced Data Scientists and ML Engineers who would focus on building the next level of AI/ML personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform with click stream, customer, entities, and text data.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy state-of-the-art ML/deep learning models for use cases in hotels, Flights, cross-selling, Ad notification, and a few other problems that straddle across multiple lines of business.
 </li>
 <li>
 Contribute to ML contextual bandit/RL platforms or pricing systems, or causal/uplift (CATE) models, or train advanced recommendation models with representation learning.
 </li>
 <li>
 Based on your capability, you may take up end-to-end responsibility for complex applied DS projects.
 </li>
 <li>
 Discuss with stakeholders at various stages of the project, for data, to select an appropriate model form, and to set up an appropriate A/B experimentation framework.
 </li>
 <li>
 Opportunity to work with high-volume click-stream e-commerce data.
 </li>
 <li>
 Build and own robust model infrastructure pipelines and API meeting 99% SLA at very high RPS.
 </li>
 <li>
 Opportunity to transform data at MMT into a tangible business impact through data science.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong Python programming skills.
 </li>
 <li>
 End-to-end experience of training and deploying machine learning models.
 </li>
 <li>
 Strong machine learning and statistical foundation.
 </li>
 <li>
 Ideally, but not mandatory, have trained and debugged deep learning models with tabular datasets, have trained representations/embeddings with content (text or image) for downstream tasks, or trained with user behaviour (click stream) data.
 </li>
 <li>
 Experience working with large datasets using Spark, Hadoop, or AWS Athena/Redshift (SQL).
 </li>
 <li>
 ML engineers should have experience in CI/CD, Docker, RestAPI, and ideally Spark or Kafka/Flink streaming.
 </li>
 <li>
 Strong problem-solving and conceptual thinking abilities.
 </li>
 <li>
 Ability to work in a fast-paced and deadline-driven environment.
 </li>
 <li>
 Experience working in the e-commerce domain is a plus.
 </li>
 <li>
 BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IT/REC) in Computer Science/Statistics/IT/ECE stream.
 </li>
 <li>
 MS or PhD in Applied AI, Advanced deep learning, Applied Mathematics, Applied Statistical Modelling, Computer Science, Advanced econometrics programs, or equivalent.
 </li>
 <li>
 1-3 years of work experience, which should include a minimum of 2 years of experience in Data Science.
 </li>
 </ul>
</div>

Sr. Data Scientist - I

Explore 319+ Data scientist in Bangalore Jobs In Mangaluru this December. Find roles across top companies and apply now to boost your career.

319 data scientist jobs IN Bangalore Jobs In Mangaluru

Data Scientist

Data Scientist

Clinical Data Scientist

Data Scientist, Product Analytics

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Data Scientist- Associate 2

Sr. Data Scientist - I