
Applied & Data Scientist
16 hours ago
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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