Anicca Data Science Solutions

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 .