... challenges into scalable analytical https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :Leadership & Strategy :- Lead, mentor, and grow a high-performing data science team.- Define and execute the data science roadmap aligned with business goals.- Collaborate cross-functionally with Product, Engineering, and Business ...
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias Partner with ML Engineering to ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... evaluation, and deployment. Explore and implement LLM and agentic AI applications to drive innovation in customer experience and workforce productivity. Partner with data engineering teams to build robust data pipelines and ensure model reliability in production. Mentor and guide junior data scientists/analysts, providing code ...
... delivery and stakeholder management.- Practical data-lake https://jobeax.com/link/hgZXWGbivT1rywct Stack & Qualifications:- Bachelors degree in computer science, Data Analytics, Engineering, or a related discipline.- Strong grasp of core data engineering principles, including data lake architectures, columnar storage formats, ...
... tables, data listings, and graphs for CSRs, as well as integrated summaries of safety and efficacy, ad hoc analyses and electronic submission deliverables, such as datasets, data documentation, programs, programming table of contents, and patient https://jobeax.com/link/DoVgLXWcmsr5WWVr addition, the Senior SAS Programmer supports ...
... analytical Data Analyst & Report Developer with strong expertise in Power BI and/or Google Looker Studio . This role is ideal for someone who enjoys working with data, building intuitive dashboards, and translating complex datasets into actionable insights. You will work closely with business stakeholders, data engineers, and ...
... long-run. Department: Engineering Model Data & Experience As a Senior Data Analyst, you will play a key role in the EMT initiatives, helping transform how engineering data is interpreted and used across the entire value chain. You will work on analyzing trends, clarifying data definitions, identifying inconsistencies, ...
... enterprise Data Loss Prevention (DLP) controls, policies, and operational processes. Execute technology roadmaps for DLP platforms to address evolving business needs, data exposure risks, and threat landscapes. Implement and optimize controls across data in motion, data at rest, and data in use environments. Review existing configurations, ...
... data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis to assess quality and meaning of data Working with programmers, engineers, and management heads to identify ...
... Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints.- Design and document end-to-end data, aligned with enterprise standards for :1. Data mesh and domain-oriented data products2. DataOps, MLOps, and emerging AgentOps practices3. AI-aligned data patterns ...
... https://jobeax.com/link/0a2QmNkVhUZFALjk Candidate will have :- Experience with Agentic AI, Generative AI, LLMs, and prompt engineering.- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue).- Experience with AWS, Azure or GCP.- Experience with Databricks/SageMaker/DataRobot, MLFlow or other ML and ...
... - Strong analytical, problem-solving, and communication skills. - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. Preferred Skills Azure Machine Learning. Power BI or Tableau. Time Series Forecasting. MLOps fundamentals. Internship/project experience ...
... global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior Data Analyst Experience: 5+ Years Skill Set: Data Analysis, SQL and Cloud (AWS, Azure, GCP) Bachelors degree in Computer Science, MIS, or related fields. - 6-7 years ...
... complex information for non-technical leadership teams.- Perform deep-dive diagnostic analysis to identify root causes of performance fluctuations and suggest data-driven improvements.- Collaborate with the engineering and product teams to refine data collection methods and improve the overall quality of the analytical https://jobeax.com/link/hs6VQjYW4dlN5SYR ...
... global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior Data Analyst Experience: 5+ Years Skill Set: Data Analysis, SQL and Cloud (AWS, Azure, GCP) Bachelors degree in Computer Science, MIS, or related fields. - 6-7 years ...
Skillset Requirements : - Experience : 5 to 10 years in data science- Programming : Minimum 5 years in Python- Machine Learning/NLP : At least 4 years- LLM & GenAI : Minimum 1.5 years with large language models and generative AI- Database Management : At least 2 years with any database- Cloud Deployment : 1+ years deploying ...
... outputs, partners with engineering and product teams on data design decisions, and proactively identifies opportunities to improve business outcomes through data. Own end-to-end analysis, including problem framing, data sourcing, methodology, validation, and insight delivery. Build and maintain complex datasets, data models, ...