... workflows. Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench. Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer . Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ...
... Supporting ad-hoc data analysis and business reporting requests Validating data accuracy, consistency, and completeness Investigating data discrepancies and resolving data quality issues Preparing analytical summaries and presenting findings to stakeholders Collaborating with business and technical teams to understand data requirements ...
... model monitoring approaches - Strong understanding of data engineering and model integration patterns, including working with SQL, batch pipelines, streaming data, APIs, and application services - Familiarity with observability and operational tooling such as Azure Monitor, Application Insights, MLflow tracking, Datadog, ...
... data science and ML, with at least 2 years leading projects or teams in a pharma consulting or client-facing setting. - A Bachelor's or Master's degree in engineering, statistics, mathematics or a relevant quantitative field. - Experience with life sciences data, such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, ...
... components, including Azure Data Lake Storage, Databricks Delta Lake, and Azure DevOps. Develop reusable, modular, and maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated ...
... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...
... 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, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...
... using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: Work with cross-functional teams, including engineering, product management, ...
... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...
... these agreements. - Act as the primary point of contact for vendor escalations, quality issues, and capacity scaling needs. - Coordinate cross-functionally with Data Science, Engineering, Product, and Delivery teams to align annotation output with project timelines and model requirements. Build dashboards/reports to track ...
Role OverviewWe are seeking a high-caliber Data Migration Consultant Developer with proven expertise in Guidewire Data Migration methodology and tools . The ideal candidate must hold a Mammoth Certification (Data Migration Track) and bring extensive, hands-on experience in migrating client data from legacy Policy systems ...
... https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - 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 ...
... product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, ...
Responsible for conducting data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling ...
... optimize Python-based data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience. Knowledge of Python programming for data analysis. Strong understanding of data science methodologies and analysis ...
... evaluating and implementing data-engineering and software technologies - In addition, you have experience in programming languages and frameworks: SQL, Python, Spark, Databricks (Delta Lake) - Experience in data storages - SQL and NoSQL databases, Azure Data Lake Storage- and in developing data solutions, models, API and software ...
... validate data from multiple sources Perform exploratory data analysis (EDA) Develop dashboards and reports using BI tools Interpret trends and patterns in complex datasets Present insights to stakeholders in a clear and actionable manner Write SQL queries to extract and manipulate data Automate data processes where possible ...
... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...
... dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - ...
... https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - 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 ...