Applied & Data Scientist

9 hours ago

Bengaluru, India Anicca Data Science Solutions Full time
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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