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senior research scientist

IndiaBioscience

<div>
 
 Profile
 
 
 
 Jivanu Therapeutics Pvt. Ltd is looking for an accomplished and highly motivated Research Scientist to join our R&amp;D team in Bengaluru, Karnataka. This role offers a unique opportunity to contribute to cutting-edge biotechnology research in a rapidly growing and innovation-driven microbiome-based organization.
 
 
 The ideal candidate will have a strong scientific background, hands-on research experience in a biotech or life sciences domain, expertise in the field of microbiome, and a track record of impactful contributions from premier global institutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement impactful projects focused on developing microbiome-based products through the creation of novel biotherapeutic bacterial strains and defined consortia.
 </li>
 <li>
 Engage in strain engineering (vector cloning, knockout, knock-in, etc.) and develop in vitro microbiological, biochemical, and biophysical assays to assess the expression and efficacy of the engineered bacteria. Experience with handling anaerobic organisms is strongly preferred.
 </li>
 <li>
 Promote innovation by genetically modifying organisms that are traditionally challenging, which may require novel strategy adoption and lengthy optimization processes.
 </li>
 <li>
 Expected to work on multiple related projects in a startup environment and conceive new ideas.
 </li>
 <li>
 Effectively contribute as a member of a small, multi-functional team by taking initiative and accountability for assigned projects, emphasizing troubleshooting and ensuring timely delivery.
 </li>
 <li>
 Active collaboration with various teams across different domains of expertise, such as bioinformatics, in vivo efficacy, product formulation, etc., is essential.
 </li>
 <li>
 Contribute scientifically by assisting in the preparation of grants, presentations, papers, and patent applications.
 
 
 </li>
 </ul>
 
 Qualification
 
 
 
 Ph.D. in Microbiology, Biotechnology, Molecular Biology, Biochemistry, Bioengineering, or a related field from a premier Indian institution with a strong publication record.
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Experience conducting impactful translational or applied research in the microbiome and biomedical fields.
 </li>
 <li>
 Demonstrated research excellence through peer-reviewed publications, patents, or technology development.
 </li>
 <li>
 Proven experience in managing or leading scientific projects from conception to execution.
 </li>
 <li>
 Exceptional communication and organizational skills.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Prior experience in genetic engineering, synthetic biology, consortia building.
 </li>
 <li>
 Education or work experience at leading international institutions.
 </li>
 <li>
 Experience working in cross-border or multicultural teams.
 </li>
 <li>
 Familiarity with IP generation, regulatory pathways, or translational research pipelines.
 
 
 </li>
 </ul>
 
 To Apply
 
 
 
 
 Application Instructions:
 
 Please submit your CV, a brief statement of research interests, and contact information for 23 professional references.
 
 
 To apply, please submit a resume/CV and cover letter outlining your qualifications and interest in the position to hr@jivanutx.com. Additionally, provide examples of relevant projects or publications, along with contact information for references.
</div>

Research Scientist - IndiaBioscience

AstraZeneca

<div>
 
 Job Title: Senior Scientist Clinical Pharmacokinetics
 
 
 
 
 Global Career Level: D
 
 
 
 
 Introduction to role
 
 
 
 Are you ready to follow the science and explore new frontiers in clinical pharmacokinetics? As a Senior Scientist in Clinical Pharmacokinetics, you will design and review clinical pharmacology study protocols, conduct non-compartmental pharmacokinetic analyses using Phoenix/WinNonlin software, and prepare comprehensive clinical study reports. Collaborating closely with Clinical Pharmacologists, Bioanalysts, Programmers, Statisticians, and Clinical Research Organizations, you will play a pivotal role in preparing regulatory submissions and documentation related to non-compartmental pharmacokinetics. Join us in our mission to unlock the power of science and make a difference in patients' lives.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Provide pharmacokinetic (PK) methodology for inclusion in analysis plans and clinical protocols or analysis plans.
 </li>
 <li>
 Produce pharmacokinetic tables, figures, and listing shells to detail the planned presentation of results.
 </li>
 <li>
 Review draft tables, figures, and listings to finalize their format.
 </li>
 <li>
 Create associated datasets.
 </li>
 <li>
 Conduct non-compartmental analyses (NCA), interpretation, and reporting of pharmacokinetic and pharmacodynamic (PD) data using appropriate software like Covance&rsquo;s Phoenix WinNonlin system (Pharsight).
 </li>
 <li>
 Collaborate with bioanalysis vendors for interim analysis to ensure timely data transfers and resolve data queries.
 </li>
 <li>
 Perform pharmacokinetic (and pharmacodynamic) analysis for interim analysis to support dose progression.
 </li>
 <li>
 Interpret and prepare the pharmacokinetic component of Clinical Interpretation Meeting materials.
 </li>
 <li>
 Write the pharmacokinetic sections of clinical study reports and scientific manuscripts.
 </li>
 <li>
 Review technical validity of non-compartmental analyses performed by peers as quality control.
 </li>
 <li>
 Assist in developing departmental guidelines, processes, software, and training materials for non-compartmental analysis.
 </li>
 <li>
 Train and mentor other pharmacokinetists based on experience.
 </li>
 <li>
 Support Manager and Clinical Pharmacologists with Health Authority queries.
 </li>
 <li>
 Prepare submission documentation and other documents for Health Authorities related to non-compartmental pharmacokinetic analyses.
 
 
 </li>
 </ul>
 
 Essential Skills/Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Science or Pharmacy
 </li>
 <li>
 6-10 years experience in pharmacokinetic data analysis (i.e. Phoenix WinNonlin or similar) and report writing.
 </li>
 <li>
 Knowledge of regulatory agency guidelines.
 </li>
 <li>
 Effective time management and organizational skills.
 
 
 </li>
 </ul>
 
 Desirable Skills/Experience
 
 
 
 <ul>
 <li>
 Experience with PK-PD modeling
 </li>
 <li>
 Team player works with others respectfully and cordially.
 </li>
 <li>
 The ability to adapt, work through conflicts, and persuasively influence outcomes.
 </li>
 <li>
 Effectively cope with change and is comfortable changing direction and acting without complete information.
 </li>
 <li>
 Ability to develop and deliver effective presentations and written/oral communications.
 </li>
 <li>
 Thrives in a fast-paced business environment.
 </li>
 <li>
 Good oral and written English language fluency.
 
 
 </li>
 </ul>
 When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
 
 
 At AstraZeneca, we are driven by our passion for science and our commitment to making a difference. We are dedicated to treating, preventing, modifying, and even curing some of the world's most complex diseases. By fusing data and technology with scientific innovations, we aim to achieve breakthroughs that positively impact billions of patients worldwide. Our inclusive environment encourages collaboration across academia, biotechs, and industry, allowing us to create swift impacts on disease. Here, curiosity thrives as we explore without limits, empowered to make bold decisions.
 
 
 Ready to make an impact? Apply now to join our team at AstraZeneca!
 
 
 
 Date Posted
 
 
 
 25-Sept-2025
 
 
 
 Closing Date
 
 
 
 05-Oct-2025
 
 
 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
</div>

Senior Scientist Clinical Pharmacokinetics

AB InBev GCC India

<div>
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title: Senior Data Scientist
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 
 
 
 We are looking for an experienced and strategic
 
 Senior Data Scientist
 
 to join our high-impact analytics team in the FMCG sector. In this role, you will lead the development of
 
 Resource Allocation Model
 
 that directly influences how we allocate marketing budgets, drive consumer demand, and enhance retail performance.
 
 
 This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment.
 
 
 
 
 
 
 2) Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 Develop, validate, and scale
 
 Resource Allocation Model
 
 to quantify the impact of Sales &amp; Marketing packages on sales and brand performance.
 </li>
 <li>
 Implement
 
 optimization algorithms
 
 to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
 </li>
 <li>
 Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
 </li>
 <li>
 Leverage
 
 PySpark
 
 to manage and transform large-scale retail, media, and consumer datasets.
 </li>
 <li>
 Build and deploy ML models using
 
 Python
 
 and
 
 TensorFlow
 
 , ensuring robust model performance and business relevance.
 </li>
 <li>
 Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
 </li>
 <li>
 Use
 
 GitHub Actions
 
 for version control,
 
 CI/CD workflows
 
 ,
 
 DVC for data versioning
 
 , and reproducible ML pipelines.
 </li>
 <li>
 Present findings through compelling data storytelling and dashboards for senior leadership.
 </li>
 <li>
 Mentor junior data scientists and contribute to a culture of innovation and excellence.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 
 5+ years
 
 of hands-on experience in data science, preferably within the
 
 FMCG
 
 or retail domain.
 </li>
 </ul>
 
 
 
 
 
 Skills required
 
 
 <ul>
 <li>
 Proven track record of building and deploying
 
 Marketing Mix Models
 
 and/or media attribution models.
 </li>
 <li>
 Deep knowledge of
 
 optimization techniques
 
 (e.g., linear programming, genetic algorithms, constrained optimization).
 </li>
 <li>
 Advanced programming skills in
 
 Python
 
 (pandas, scikit-learn, statsmodels, TensorFlow).
 </li>
 <li>
 Expertise in
 
 PySpark
 
 for distributed data processing and transformation.
 </li>
 <li>
 Experience with
 
 Git
 
 and
 
 GitHub Actions
 
 for collaborative development and CI/CD pipelines.
 </li>
 <li>
 Strong grounding in statistics, experimental design (A/B testing), and causal inference.
 </li>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills required
 
 
 <ul>
 <li>
 Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads).
 </li>
 <li>
 Exposure to cloud platforms like
 
 AWS
 
 ,
 
 GCP
 
 , or
 
 Azure
 
 .
 </li>
 <li>
 Familiarity with
 
 FMCG metrics
 
 (e.g., brand health, share of shelf, volume uplift, promotional ROI).
 </li>
 <li>
 Ability to translate complex models into business actions in cross-functional environments.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 
</div>

Senior Data Scientist

ITC Infotech

<div>
 
 
 Senior Data Scientist
 
 
 
 
 
 
 
 Location : Bangalore
 
 
 
 
 Mode: Hybrid
 
 
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 We are seeking highly skilled and innovative Data Scientists with strong expertise in Azure AI and ML to join our team.
 </li>
 <li>
 The ideal candidates will bring deep experience in building and deploying advanced machine learning and AI models, particularly working with unstructured data, NLP, and generative AI solutions.
 </li>
 <li>
 You will play a key role in designing, experimenting, and delivering AI-driven capabilities that unlock business value and innovation.
 </li>
 </ul>
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy ML and AI models on the Azure ecosystem. &iquest; Work extensively with unstructured data sets (text, images, documents, etc.) to extract insights and build scalable solutions.
 </li>
 <li>
 Apply advanced Natural Language Processing (NLP) and Natural Language Generation (NLG) techniques to solve business problems.
 </li>
 <li>
 Leverage Copilot Studio, AI Foundry, Genie AI in Databricks, and other Azure-native services for generative AI use cases.
 </li>
 <li>
 Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions.
 </li>
 <li>
 Continuously explore, test, and implement new algorithms, tools, and frameworks to improve model accuracy and performance.
 </li>
 <li>
 Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
 </li>
 <li>
 Take ownership and accountability for end-to-end project delivery, from data exploration to production deployment. Required Skills &amp; Qualifications
 </li>
 <li>
 Proven hands-on experience in Azure Machine Learning, Azure AI services, and Databricks.
 </li>
 <li>
 Strong background in NLP, NLG, LLMs, and generative AI frameworks.
 </li>
 <li>
 Experience with unstructured data pipelines and feature engineering.
 </li>
 <li>
 Proficiency in Python, PySpark, and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.).
 </li>
 <li>
 Practical experience with Copilot Studio, AI Foundry, Genie AI in Databricks is highly desirable.
 </li>
 <li>
 Strong problem-solving, analytical, and innovation skills.
 </li>
 <li>
 Excellent communication and storytelling ability to present AI solutions to stakeholders.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Preferred Qualifications
 </li>
 <li>
 Experience in building and deploying enterprise-grade AI solutions in cloud-native environments.
 </li>
 <li>
 Prior exposure to GenAI-based copilots, conversational AI, or knowledge assistants.
 </li>
 <li>
 Familiarity with MLOps frameworks for productionizing AI models.
 </li>
 </ul>
</div>

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimised for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.
 
 
 Data Scientists on our team partner with product managers, engineers, and others to form a cross-functional team driving LinkedIn membership growth and engagement. We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on International Products that create values for LinkedIn's global member base in over 200 countries.
 
 
 About the team:
 
 
 Join the LSS-Data Science team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-Data Science team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.
 
 
 You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 Responsibilities:
 
 
 We inform product strategy, influence the product roadmap, and guide product decisions by:
 
 
 <ul>
 <li>
 Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
 </li>
 <li>
 Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
 </li>
 <li>
 Designing and analyzing experiments to test new product ideas.
 </li>
 <li>
 Developing models and data-driven solutions that add material lift to principal performance metrics.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.
 </li>
 <li>
 5+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
 </li>
 <li>
 5+ years of experience in a Unix/Linux environment for automating processes with shell scripting.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Consumer Internet products.
 </li>
 <li>
 Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
 </li>
 <li>
 Ability to translate business objectives into actionable analyses.
 </li>
 <li>
 Ablility to communicate findings clearly to both technical and non-technical audiences
 </li>
 <li>
 Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in
 </li>
 <li>
 International markets, Search Engine Optimization (SEO)
 </li>
 <li>
 Expertise in applied statistics, understanding of controlled experiments.
 </li>
 <li>
 Cross-cultural background and experience
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Sql
 </li>
 <li>
 Data visualization
 </li>
 <li>
 Hive
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Mindera

<div>
 As a Senior Data Scientist - Marketing Mix Modeling (MMM) at Mindera, you will be responsible for leveraging data to enhance marketing strategies and drive business performance. You will work closely with cross-functional teams to analyze customer behavior, segment audiences, and measure the effectiveness of marketing campaigns. Your insights will help shape marketing initiatives and improve customer engagement.
 
 
 This is a unique opportunity for someone passionate about data science and marketing, enabling you to apply advanced analytical techniques to provide actionable insights that influence strategic decisions.
 
 
 
 Requirements
 
 
 
 As a Senior Data Scientist in our Marketing DSA team, you'll be working in a fast-paced and agile environment, working with large marketing budgets to drive growth at Mindera. Furthering our understanding of return on investment in a privacy-first world whilst understanding how we perform in a complex and competitive marketing landscape presents many opportunities to develop and hone new methodology whilst having a big impact on the business. You will be responsible for influencing marketing and business outcomes, have the autonomy to make things happen and must obsess about having business impact.
 
 
 
 More specifically you will:
 
 
 
 <ul>
 <li>
 Lead the development of advanced measurement frameworks for marketing performance, including Marketing Mix Modelling (MMM), incrementality testing, and geo-experimentation.
 </li>
 <li>
 Generate marketing insights that inform strategic and tactical decision-making across multiple channels.
 </li>
 <li>
 Partner with marketing, finance, and commercial teams to optimise allocation of significant budgets in a competitive marketplace.
 </li>
 <li>
 Innovate new approaches to measuring ROI and attribution in a privacy- conscious environment.
 </li>
 <li>
 Communicate complex results and recommendations to senior stakeholders in a clear, business-focused way.
 </li>
 <li>
 Mentor and support other data scientists and analysts in developing advanced experimentation and modelling skills
 
 
 </li>
 </ul>
 
 We'd love to hear from you if you have... 🔍
 
 
 
 As a Senior Data Scientist, you will be responsible for influencing marketing and
 
 
 business outcomes, have the autonomy to make things happen, and must obsess
 
 
 
 About Having Business Impact.
 
 
 
 
 More specifically you will:
 
 
 
 <ul>
 <li>
 Bring experience with Marketing Mix Modelling (MMM), incrementality testing, and geo-experimentation to measure and optimise marketing effectiveness.
 </li>
 <li>
 Generate marketing insights that shape strategy and execution across multiple channels.
 </li>
 <li>
 Partner with marketing, finance, and commercial teams to optimise allocation of significant budgets in a competitive marketplace.
 </li>
 <li>
 Innovate new approaches to measuring ROI and attribution in a privacy- conscious environment.
 </li>
 <li>
 Communicate complex results and recommendations to senior stakeholders in a clear, business-focused way.
 </li>
 <li>
 Mentor and support other data scientists and analysts in developing advanced experimentation and modelling skills.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 We offer
 
 
 <ul>
 <li>
 Flexible working hours (self-managed)
 </li>
 <li>
 Competitive salary
 </li>
 <li>
 Annual bonus, subject to company performance
 </li>
 <li>
 Access to Udemy online training and opportunities to learn and grow within the role
 
 
 </li>
 </ul>
 At Mindera we use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. We partner with our clients, to understand their product and deliver high performance, resilient and scalable software systems that create an impact on their users and businesses across the world.
 
 
 You get to work with a bunch of great people, where the whole team owns the project together. Our culture reflects our lean and self-organisation attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment.
 
 
 Check out our Blog: http://mindera.com/ and our Handbook: http://bit.ly/MinderaHandbook
 
 
 Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | Chennai, India | Bengaluru, India
 
 
 Mindera is an equal opportunity employer and does not discriminate on the basis of age, disability, gender including gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other protected status. All matters related to employment are decided on the basis of qualifications, merit and business need.
</div>

Senior Data Scientist - Marketing Mix Modeling (MMM)

<div>
 
 Role Description
 
 
 
 Data Scientist
 
 
 
 Job Summary
 
 
 
 We are looking for a results-oriented Data Scientist with expertise in Statistics, Economics, Machine Learning, Deep Learning, Computer Vision, and Generative AI. The ideal candidate will have a proven track record of building and deploying predictive models, conducting statistical analysis, and applying cutting-edge AI techniques to solve real-world business challenges.
 
 
 ________________________________________
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop models for regression, classification, clustering, and time series forecasting.
 </li>
 <li>
 Perform hypothesis testing and statistical validation to support data-driven decisions.
 </li>
 <li>
 Build and optimize deep learning models (ANN, CNN, RNN including LSTM, BERT).
 </li>
 <li>
 Implement computer vision solutions using YOLOv3, SSD, U-Net, R-CNN, etc.
 </li>
 <li>
 Apply Generative AI and LLMs (GPT-4, LLaMA2, Bard) for NLP and content generation.
 </li>
 <li>
 Create interactive dashboards and applications using Streamlit or Flask.
 </li>
 <li>
 Deploy models using AWS SageMaker, Azure, Docker, Kubernetes, and Jenkins.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into production.
 </li>
 <li>
 Handle large datasets using SQL/NoSQL and PySpark.
 </li>
 <li>
 Stay updated with the latest AI/ML research and contribute to innovation.
 
 
 </li>
 </ul>
 ________________________________________
 
 
 
 Technical Skills
 
 
 
 Programming &amp; Frameworks:
 
 
 <ul>
 <li>
 Languages: Python
 </li>
 <li>
 Libraries/Frameworks: TensorFlow, PyTorch, Keras, Flask, Transformers, Langchain, PySpark, Caffe
 </li>
 <li>
 Visualization &amp; Data Tools: Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn, Scipy, NLTK, Streamlit, OpenCV, Scikit-Image, Dlib, MXNet, Fasta
 
 
 </li>
 </ul>
 
 ML &amp; Statistical Techniques
 
 
 
 <ul>
 <li>
 Regression (Linear/Logistic), Decision Trees, Random Forest, KNN, Na&iuml;ve Bayes
 </li>
 <li>
 Clustering (KMeans, Hierarchical), Time Series Forecasting
 </li>
 <li>
 Hypothesis Testing, Statistical Inference
 
 
 </li>
 </ul>
 
 Deep Learning &amp; Computer Vision
 
 
 
 <ul>
 <li>
 ANN, CNN, RNN (LSTM, BERT), VGGs, YOLOv3, SSD, HOGs, DCGAN, U-Net, R-CNN, NEAT, Inpainting
 
 
 </li>
 </ul>
 
 Gen-AI / LLMs
 
 
 
 <ul>
 <li>
 HuggingFace, GPT-4, Bard, LLaMA2, Pinecone, Palm, GenAI Studio, OpenAI fine-tuning
 
 
 </li>
 </ul>
 
 Deployment &amp; DevOps
 
 
 
 <ul>
 <li>
 AWS (SageMaker), Azure, Docker, Kubernetes, Jenkins, Git, GitHub, API integration
 
 
 </li>
 </ul>
 
 Databases &amp; Tools
 
 
 
 <ul>
 <li>
 MySQL, NoSQL
 </li>
 <li>
 Jupyter Notebook, Google Colab, Visual Studio, Power BI
 
 
 </li>
 </ul>
 ________________________________________
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Statistics, Economics, Computer Science, Data Science, or related field.
 </li>
 <li>
 Demonstrated experience in developing and deploying models in production.
 </li>
 <li>
 Strong analytical and statistical skills.
 </li>
 <li>
 Excellent communication and collaboration abilities.
 </li>
 </ul>
</div>

Data Scientist

Explore 420+ Senior research scientist in Mangaluru this October. Find roles across top companies and apply now to boost your career.

420 senior research scientist jobs IN Mangaluru

Research Scientist - IndiaBioscience

Senior Scientist Clinical Pharmacokinetics

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Marketing Mix Modeling (MMM)

Data Scientist