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staff data scientist

Commonwealth Bank

<div>
 
 Job Description
 
 
 
 Organisation:
 
 
 
 At CommBank, we never lose sight of the role we play in other people&rsquo;s financial wellbeing. Our focus is to help people and businesses move forward, to progress. To make the right financial decisions and achieve their dreams, targets and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas and energy all contribute to the impact that we can make with our work. Together we can achieve great things.
 
 
 
 
 
 
 Job Title:
 
 Senior Staff Data Scientist &ndash; COO AI &amp; Advanced Analytics CoE
 
 
 
 Location:
 
 Bengaluru
 
 
 
 
 
 
 Business &amp; Team:
 
 COO AI &amp; Advanced Analytics CoE
 
 
 
 
 
 
 Impact &amp; contribution:
 
 
 
 The Senior Staff Scientist is a strategic and technically advanced individual contributor role within the COO AI &amp; Advanced Analytics CoE. This position is designed for a seasoned expert who combines deep technical expertise with leadership in innovation, analytics enablement, and operational transformation. The role will drive the technical maturity of the CoE, uplift AI capabilities across operations, and deliver high-impact insights and solutions
 
 
 
 
 
 Lead the design, development, and deployment of end-to-end agentic AI solutions, embedding autonomous decision-making capabilities into operational workflows.
 
 
 Drive innovation in generative AI, including prompt engineering, fine-tuning, and safe deployment of LLM-based applications.
 
 
 Provide hands-on technical leadership across the full lifecycle&mdash;design, implementation, deployment, and governance&mdash;ensuring robustness, explainability, and safety.
 
 
 Champion best practices in data science standards, including code quality, model governance, and operationalisation.
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 Strategic Enablement &amp; Delivery
 
 
 <ul>
 <li>
 Accelerate AI and analytics capability, delivery, and adoption across operations teams.
 </li>
 <li>
 Translate complex analytical findings into actionable business insights that enhance operational efficiency and risk management.
 </li>
 <li>
 Partner with senior leadership to identify and prioritise strategic challenges that can be addressed through analytics.
 </li>
 </ul>
 
 
 
 
 
 Mentorship &amp; Culture Building
 
 
 <ul>
 <li>
 Act as a role model and mentor for junior and mid-level data scientists, fostering a high-performance culture.
 </li>
 <li>
 Build strong relationships across the COO and analytics community to drive collaboration and shared outcomes.
 </li>
 </ul>
 
 
 
 
 
 Operational &amp; Analytical Excellence
 
 
 <ul>
 <li>
 Lead exploration of new data sources and advanced modelling techniques to support fraud detection, operational insights, and strategic initiatives.
 </li>
 <li>
 Maintain data governance standards and ensure compliance with regulatory and ethical guidelines.
 </li>
 </ul>
 
 
 
 
 
 Essential Skills:
 
 
 <ul>
 <li>
 Minimum 10 years of experience in data science, AI, or machine learning roles, with a strong track record of technical leadership.
 </li>
 <li>
 Proven experience in deploying AI/ML solutions in production, including cloud-native architectures (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Deep understanding of the AI ecosystem, including:
 </li>
 <li>
 Agentic AI frameworks: LangChain, LangGraph, CrewAI, AutoGen
 </li>
 <li>
 Observability and monitoring: Langfuse, PromptLayer
 </li>
 <li>
 Vector databases: FAISS, Pinecone, Weaviate
 </li>
 <li>
 LLM orchestration: OpenAI, Anthropic, Hugging Face Transformers
 </li>
 <li>
 MLOps: MLflow, Kubeflow, Vertex AI, SageMaker
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Education Qualifications :
 
 Bachelor&rsquo;s degree in Engineering in Computer Science/Information Technology.
 
</div>

Staff Data Scientist

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 optimized 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:
 
 
 <ul>
 <li>
 We inform product strategy, influence the product roadmap, and guide product decisions by
 </li>
 <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>
 10+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
 </li>
 <li>
 10+ 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>
 Ability 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 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>

Data Scientist, Product Analytics

A.P. Moller - Maersk

<div>
 
 Job - Data Scientist (4+ yrs)
 
 
 Location- Bengaluru/Pune
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Perform exploratory data analysis and various data analysis
 </li>
 <li>
 Build robust data pipeline jobs
 </li>
 <li>
 Design, implement and monitor Machine Learning models
 </li>
 <li>
 Conduct A/B testing
 </li>
 <li>
 Collaborate with cross-functional teams
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 :
 
 
 <ul>
 <li>
 Proficiency in Python.
 </li>
 <li>
 Bachelors's degree in Mathematics, Statistics, or a related field.
 </li>
 <li>
 Strong proficiency in data analytics and statistical analysis
 </li>
 <li>
 Excellent problem-solving skills and ability to deliver actionable insights.
 </li>
 <li>
 Strong communication skills and ability to collaborate effectively with cross-functional teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Proficiency in PySpark and SQL
 </li>
 <li>
 Master's degree in Mathematics, Statistics, or a related field.
 </li>
 <li>
 Experience building interactive dashboards by e.g. Dash or Streamlit.
 </li>
 <li>
 Experience with a code-based data orchestration framework such as Airflow, Luigi, Dagster or similar
 </li>
 <li>
 Knowledge of MLOps.
 
 
 </li>
 </ul>
 Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
 
 
 We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
</div>

Data Scientist

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

Amazon

<div>
 
 Description
 
 
 
 Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?
 
 
 Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?
 
 
 Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?
 
 
 If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a Sr. manager of Applied Science who can lead a team of talented scientists to build advanced algorithmic systems that help manage the safety of millions of transactions every day. You will also spearhead initiatives to leverage Generative AI technologies to revolutionize our fraud detection capabilities and create next-generation risk prevention solutions
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Lead a team of scientists in developing machine learning and statistical techniques to create scalable risk management systems, including exploration of GenAI applications
 </li>
 <li>
 Guide team strategy in analyzing Amazon's historical business data to identify risk patterns and trends that inform business decisions
 </li>
 <li>
 Partner with senior leaders to frame business problems, establish scientific vision, and execute strategic roadmaps across the organization
 </li>
 <li>
 Direct research initiatives in novel machine learning approaches and ensure successful implementation of promising solutions
 </li>
 <li>
 Oversee the design, development, and evaluation of highly innovative risk management models
 </li>
 <li>
 Build and maintain strategic partnerships with software engineering teams to ensure successful real-time model implementations and new feature creations
 </li>
 <li>
 Develop and maintain relationships with operations staff to optimize risk management operations
 </li>
 <li>
 Drive the establishment of scalable, efficient, automated processes for large-scale data analyses, model development, validation, and implementation
 </li>
 <li>
 Provide clear, compelling management reporting on team progress, model performance, and business impact.
 </li>
 <li>
 Hire, grow, and develop excellent scientific and analytic talents within the BRP Payment Risk team.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 A Master in Computer Science, Machine Learning, Statistics, Operations Research or relevant field
 </li>
 <li>
 8+ years of building models for business application experience
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Good written and spoken communication skills
 </li>
 <li>
 Experience of building/developing teams, direct and shape the team plan, culture and strategy.
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 A PhD in Computer Science, Machine Learning, Statistics, Operations Research or relevant field
 </li>
 <li>
 10+ years of industry experience in predictive modeling and analysis as a scientist or science manager
 </li>
 <li>
 Experience in managing managers
 </li>
 <li>
 Machine Learning breadth and depth
 </li>
 <li>
 Ability to think creatively and solve complex business and technical problems
 </li>
 <li>
 Skills in SQL/Python/R (or similar)
 </li>
 <li>
 Demonstrated track record of cultivating effective working relationships and driving collaboration across multiple technical and business teams
 </li>
 <li>
 Experience in managing cross-functional projects
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - BLR - DTA
 
 
 Job ID: A3048678
</div>

Sr Manager, Applied Science, BRP Payment Risk ML

Brillio

<div>
 
 Data Scientist
 
 
 
 
 Primary Skills
 
 
 
 <ul>
 <li>
 Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test
 
 
 </li>
 </ul>
 Specialization
 
 
 <ul>
 <li>
 Data Science Advanced: Data Specialist
 
 
 </li>
 </ul>
 Job requirements
 
 
 <ul>
 <li>
 Key Responsibilities: Develop and implement time series forecasting models to predict future trends, demand, and performance metrics. Leverage statistical methods, machine learning, and deep learning techniques for accurate forecasting. Work with large datasets from multiple sources and clean, process, and transform data for modeling purposes. Analyze historical data patterns and trends to identify key drivers of future outcomes. Perform data validation, anomaly detection, and ensure data integrity. Collaborate with business and technical teams to understand forecasting needs and ensure models align with business objectives. Communicate findings, insights, and predictions to both technical and non-technical stakeholders. Continuously optimize and improve forecasting models by experimenting with new algorithms, tools, and techniques. Use forecasting models to drive business decisions related to supply chain, demand planning, inventory, and more. Document processes, models, and code to ensure scalability and reproducibility. Key Requirements: Education: Bachelor's or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. Experience: 5-6 years of experience in data science with a focus on time series forecasting. Proficiency in Python or R for data analysis and modeling. Strong knowledge of time series forecasting techniques such as ARIMA, SARIMA, ETS, Prophet, or LSTM. Experience with machine learning algorithms and statistical analysis. Familiarity with tools like SQL, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience working with large datasets and data pipelines in a cloud-based environment (AWS, Azure, or GCP). Strong problem-solving skills and the ability to interpret complex data. Excellent communication and presentation skills to translate complex data findings into actionable insights for business teams.
 </li>
 </ul>
</div>

Data Scientist - R01542454

Explore 429+ Staff data scientist in Mangaluru this November. Find roles across top companies and apply now to boost your career.

429 staff data scientist jobs IN Mangaluru

Staff Data Scientist

Staff Data Scientist

Data Scientist, Product Analytics

Data Scientist

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

Sr Manager, Applied Science, BRP Payment Risk ML

Data Scientist - R01542454