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Skills Required

data learning design ai scalability tuning evaluation risk analysis sql power logic support management engineering agile statistics mathematics physics econometrics model pipeline querying profiling mapping documentation azure communication research coding integration excel visio

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

Senior Data Scientist


Key Responsibilities

  • Design, build, and deploy advanced 

    AI/Data Science solutions

     with a focus on scalability and ethical AI.
  • Apply expertise in 

    machine learning frameworks

     and advanced techniques (LLM fine-tuning, RAG implementations, evaluation methods).
  • Conduct 

    applied research

     in areas such as fraud detection, risk modeling, and automation.
  • Perform 

    data analysis and profiling

     on large datasets (SQL/KQL), ensuring high-quality insights.
  • Collaborate with data engineers to validate pipelines, transformations, and ensure data accuracy.
  • Create and maintain 

    Power BI dashboards

     aligned with business use cases.
  • Translate business needs into technical requirements and document 

    business rules, logic, and lineage

    .
  • Support 

    data governance

     initiatives, metadata management, and gap analysis of current vs. target data flows.
  • Partner with engineering, product, and program management teams in an Agile environment.


Required Qualifications

  • Education & Experience

     (one of the following):
  • 8+ years with a 

    Bachelor’s degree

     in Statistics, Mathematics, Physics, Econometrics, Computer Science, Engineering, or related field.
  • 6+ years with a 

    Master’s degree

     in the same fields.
  • 2+ years with a 

    Ph.D.

     in the same fields.
  • Proven expertise in 

    statistical modeling, feature engineering, model evaluation, and data pipeline design

    .
  • Strong command of 

    SQL/KQL

     for querying and profiling large datasets.
  • Experience with 

    data mapping, source-to-target documentation, and profiling

    .
  • Familiarity with 

    modern data platforms

     (Microsoft Azure, Data Factory, Data Lake, Microsoft Fabric preferred).
  • Strong communication skills with ability to engage both technical and non-technical stakeholders.


Preferred Qualifications

  • Research contributions: 

    publications, patents, peer-reviewed work

    .
  • Hands-on coding experience in 

    Python

     (C# is a plus).
  • Experience with 

    Power BI

     (or similar BI tools).
  • Knowledge of 

    fraud detection workflows, vendor data integration, and cost optimization

    .
  • Familiarity with 

    Agile or hybrid Agile/Waterfall delivery methods

    .
  • Proficiency with 

    Excel, Visio, or other documentation tools

    .








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