Applied & Data Scientist

16 hours ago

Bengaluru, Karnataka, India Anicca Data Science Solutions Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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