Data Scientist (US Value & Access Insights) in Salem, India

... Develop, deploy, and optimize ML models for prediction and forecasting tasks on tabular/text datasets. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support ...

• Full-time

Rs 25 - 30 lakhs p.a.

... performance using appropriate statistical and business metrics and continuously improve model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality ...

• Remote

NPS Prism Title: Data Scientist II (Work From Home) NPS Prism is a market-leading, cloud-based SaaS business owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. NPS Prism customers use our customer experience benchmarks ...

Job Summary We are seeking an experienced Demand Forecasting Data Scientist with strong expertise in time series forecasting, machine learning, and supply chain analytics . The ideal candidate will have hands-on experience working with Databricks and Python , a deep understanding of demand planning use cases, and the ability ...

... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs

... Linux, AWS) Hypothesis testing, insights generation, root cause analysis, factor analysis Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms Test/train the model, Improve Model accuracy, Monitor model performance Data Extraction from EDW/Big Data ...

• Hybrid

... test in fast iterations, use GPU/CPU based online inferencing of deep learnt and traditional models and event driven architecture. This will span multi markets, business models and form factors, therefore, we are looking for engineers and data scientists who will being not only an abundance of experiences in technologies but ...

... to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, ...

... Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance solutions. - Knowledge of LLM orchestration frameworks. - Experience implementing autonomous agents for operational monitoring and support. ...

• Hybrid

Data Scientist with GenAI (5 - 8 Years) - BangaloreWe are looking for a highly skilled Data Scientist with Generative AI expertise to design, develop, and deploy AI-driven solutions that solve complex business challenges. The role involves working on Machine Learning models, Large Language Models (LLMs), Retrieval-Augmented ...

... Snowflake data warehouse and data lake solutions. Develop data models for reporting, analytics, ML, and fraud investigations. Design scalable cloud solutions using AWS and/or Azure . Ensure data quality, governance, reliability, monitoring, and compliance. Partner with Data Scientists, Fraud Analysts, and Engineering teams ...

... risks, dependencies and changing priorities. Mentor junior data scientists through technical guidance, feedback and knowledge sharing. Evaluate new research, industry developments and methodologies, applying them where they add value. Use cloud-based machine learning services to develop scalable solutions. Required Skills ...

... Build and integrate APIs that expose statistical models, analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational and statistical models in production environment. Integrate backend services with Azure cloud ...

• Hybrid

... Application Insights, MLflow tracking, Datadog, or equivalent monitoring platforms - Strong understanding of ML quality dimensions such as bias, overfitting, data leakage, model drift, explainability, reproducibility, and performance stability - Ability to translate business problems into scalable ML solutions and guide ...

... 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 capabilities. Work with clients to translate business questions into well-scoped data science problems, ...

... Build and integrate APIs that expose statistical models, analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational and statistical models in production environment. Integrate backend services with Azure cloud ...

• Full-time

... and other data engineering practices. Implement data quality checks, validation rules, monitoring, and error-handling mechanisms. Develop automated workflows using Airflow, MWAA, AWS Step Functions , or similar orchestration tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready ...

• Full-time
• Contract

... an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: This is a highly unique opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, ...

... audiences, providing actionable insights and recommendations to drive business strategy. Innovation: Stay up to date with the latest trends and advancements in data science and machine learning to continuously enhance modeling practices and methodologies. Required Experience and Skills – Our Must haves: - Bachelor's degree ...