Senior Data Scientist (AI/ML) in India, India - Jobeax
Vacancy description
Senior Data Scientist (AI/ML) in India, India
Jobgether
RemoteWork from anywhere
ContractFixed-term or freelance
India, India
Senior Data Scientist (AI/ML) in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
Our partner is looking for a Senior Data Scientist – Adversarial based in India.
Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands.
As a Senior Data Scientist, you will investigate sophisticated attacks, analyze large-scale traffic data, and strengthen security detection capabilities.
You will work at the intersection of data science, threat analysis, application security, and product innovation.
The role combines deep technical investigation with hands-on development of detection improvements and analysis of emerging attack patterns.
You will collaborate closely with security operations, customer-facing teams, and fellow data scientists to translate complex findings into actionable solutions.
Your work will help improve detection accuracy, reduce false positives, and close evolving security gaps.
Analyze large-scale traffic data, behavioral signals, request signatures, and security telemetry to identify suspicious patterns and detection gaps.
Collaborate with professional services, security operations, account teams, and data science groups to resolve complex security challenges.
Contribute insights from investigations to longer-term product strategy and security detection innovation.
8+ years of relevant professional experience, supported by a bachelor's degree or equivalent practical experience.
Strong experience working with large datasets using Python and SQL; experience with Go is an advantage.
Solid knowledge of statistics, probability, data analysis, machine learning, and clustering techniques.
Professional experience in areas such as bot detection, fraud prevention, account takeover, scraping detection, application security, or related security domains.
Strong understanding of web and network technologies, including TCP/IP, DNS, TLS/SSL, and web application architectures.
Ability to collaborate effectively across data science, security, operations, customer-facing, and engineering teams.
Permanent workplace flexibility with the ability to work from home, from an office, or through a combination of both within India.
Strong exposure to data science, machine learning, application security, threat analysis, and modern security technologies.
Collaborative environment involving data scientists, security specialists, operations teams, professional services, and customer-facing groups.
Opportunity for continued technical growth and career development within a global technology environment.
Immediate opportunity with the role currently based in Bengaluru, India.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.
... problems and translate ML capabilities into measurable outcomes Communicate technical concepts, tradeoffs, and results to non-technical audiences, including senior leadership and clients Mentor junior data scientists and contribute to team standards around code quality, experimentation, and responsible AI Advanced degree ...
... technology, data-driven decision-making, and industry expertise to deliver fast, flexible financing options that traditional lenders often cannot provide. As a Senior Data Scientist on the Credit & Fraud Risk Team, you will take ownership of the end-to-end lifecycle of predictive machine learning models. You'll play a foundational ...
Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 ...
... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml
... a skilled Data Scientist to join our team, focusing on the development and implementation of advanced AI models. The ideal candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI ...
... Experience working with large, complex datasets in cloud-based or big data environments. - Practical understanding of Nixtla library is a plus. - Experience with MLOps , model monitoring, and CI/CD pipelines. Domain Knowledge Strong Supply Chain domain knowledge , especially demand forecasting, inventory planning, and sales ...
... explainability, and business outcomes Contribute to best practices for model governance, feature lineage, documentation, testing, interpretability, and responsible AI Guide technical decisions on ML solution design, operationalization patterns, and production support expectations Mentor other data scientists and ML engineers ...
... looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new ...
... Scikit-learn) and statistical analysis. Time series models (Prophet, XGBoost, LSTM for Azure ML). Model performance tracking and retraining strategies using Azure ML. Exposure to AI based solutions in areas of Search, product meta-data generation or discovery. Experience in designing and implementing Data Science best practices ...
... seamlessly, and access financial tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science. Be part of a team that's scaling sustainably, thinking big, and building for the next billion. Tech Systems that run at Scale: ...
Position: Data Scientist Experience: 3 – 4 Years We are looking for a Data Scientist to help us see those patterns earlier: which investors need a nudge, which portfolios are drifting off-plan, and which programs are actually moving the needle. Investment and portfolio analytics- build models that surface portfolio drift, ...
... Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms - Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects - Synthesizing findings and insights through effective story telling through visualization tools such as Power BI /Tableau - Detail-oriented ...
... novel measurement approaches Ideal For: Senior and Staff data scientists who want one of the hardest, most consequential analytics surfaces in AI software Applied ML practitioners who'd rather build the pipeline than wait for one Analysts who moved into ML and never stopped shipping Anyone drawn to where classical ML, LLM-native ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... cross-validation, hyperparameter tuning, feature engineering, and model comparison. Experience selecting appropriate algorithms based on business objectives, data characteristics, interpretability requirements, and model performance. Experience with model interpretability and explainability, using techniques such as SHAP, ...
... comfortable using LLMs/AI copilots as part of daily workflow (analysis, documentation, communication, process design), not just as a novelty. - Experience working with AI/ML teams and understanding of how annotated data feeds into model training. - Strong understanding of quality frameworks (QA/QC) for spatial data and annotation ...
... clients span autonomous mobility, medical AI, agriculture, and more—powering next-generation AI systems with high-quality data services. We are seeking a skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines ...
... worker safety across thousands of licensed US facilities Greenfield data platform work on a modern AWS stack — you will shape the architecture, not inherit it Senior-level autonomy with cross-functional influence across product, backend engineering, and AI/ML teams Competitive senior compensation package, equity participation, ...
... Pipeline, ETL/ELT, and Data Warehousing. - Effective use of AI and/or LLMs to increase efficiency in deliverables. - Extensive experience working with various data sources (DB2, SQL,Oracle, flat files (csv, delimited), APIs, XML, JSON). - Experience implementing data integration techniques such as event/message based integration ...