... support data-driven decision-making. Develop and maintain data pipelines using Databricks and other ETL tools. Collaborate with cross-functional teams to define data requirements and ensure data quality. Create and maintain dashboards and reports to visualize key metrics and trends. Perform data modeling and data integration ...
... libraries (NumPy, pandas). Experience with software engineering practices, agile methodologies and version control (Git). Applied Data Science Statistical Modeling & Analysis Machine Learning & Deep Learning Generative AI, NLP, Computer Vision Time Series Analysis & Forecasting End‑to‑End ML Project Lifecycle Python/R ...
... 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 data availability for modeling. - Partner with product and business stakeholders ...
... optimization, promotion uplift modeling, campaign analysis, churn prediction etc. - Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and statistical analysis. Time series models ...
... https://jobeax.com/link/3PYgDWHIOUvCkACq to Have : - Experience with Python or R for statistical analysis, data wrangling, or ML-adjacent workflows.- Familiarity with dbt or similar data transformation tools and modern analytics engineering practices.- Background in healthcare technology, AI/ML products, or regulated data environments.- Experience ...
... and financial analysts; set research priorities, assign and review deliverables, and manage timelines and quality. Build team capability in econometrics, statistical and machine-learning modeling (R/Python), and research writing. Research & Modeling Conduct in-depth macroeconomic and financial research across sectors and ...
We're Hiring: Senior Financial Analyst (FP&A) Location: [Bangalore] | Experience: 5+ Years We are looking for a data-driven Senior Financial Analyst to lead budgeting, forecasting, financial planning, and business performance analysis. The ideal candidate will combine strong finance expertise with analytics, automation, ...
... business logic running on the Aera platform. This is a cross-functional role where you will partner closely with Customer Success, Product, Engineering, and Modeling teams to identify root causes, drive resolutions, and improve platform reliability. The ideal candidate combines strong analytical skills, data modeling expertise, ...
... marketing or loss forecasting models or lieu of a degree 4+ Years of relevant experience. - 2+ years of experience in developing/validating credit models with statistical tools like SAS, Python, SQL, etc. - 2+ years of experience using large data sets for statistical and ML modeling within the banking or financial industry. ...
... - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, and evaluating state-of-the-art machine learning models and deployment.- Proficiency in Statistical and Probabilistic ...
... - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, and evaluating state-of-the-art machine learning models and deployment.- Proficiency in Statistical and Probabilistic ...
... explanations of the calculations, statistical reasoning or modeling logic involved. No prior AI experience is required. The primary requirement is strong expertise in data science, statistics or another relevant quantitative discipline. What You'll Do - Interpret complex statistical and data science visualizations, including Sankey ...
... explanations of the calculations, statistical reasoning or modeling logic involved. No prior AI experience is required. The primary requirement is strong expertise in data science, statistics or another relevant quantitative discipline. What You'll Do - Interpret complex statistical and data science visualizations, including Sankey ...
... based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven decision-making and innovation within our portfolio. Key skills - Python, FastAPI Framework, ...
... based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven decision-making and innovation within our portfolio. Key skills - Python, FastAPI Framework, ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... - Experience with Tableau performance optimisation, data-source management, security, and BI governance. - Tableau certification , such as Tableau Certified Data Analyst or Tableau Desktop Specialist, is an advantage. - Working knowledge of Python or R for statistical analysis and integrating analytical outputs into BI ...
... or modern data orchestrators Data Quality Assurance: Maintain ownership over data modeling, transformation structures, SQL views, and procedures to guarantee data validity. Team Mentorship : Lead, mentor, and define performance benchmarks for a high-performing team of data analysts. Cross-Functional Collaboration : Act ...
... bottom-line and top-line of India business. 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, ...