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Applied & Data Scientist

Applied & Data Scientist

Anicca Data Science SolutionsBengaluru, Karnataka, India
1 day ago
Job description

Role Overview

We are seeking a  Senior Data Scientist  with strong expertise in applied data science and machine learning. The role involves designing, developing, and deploying advanced models, building dashboards, and collaborating cross-functionally to deliver data-driven solutions that solve real-world business challenges.

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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