Data Scientist - Finance AI & Analytics
JobgetherNorth AmericaFull TimeSoftware Development
Remotely
pythonsqlawsazuresparkgitdatadatabrickspyspark
Job Description
📋 Description
- Develop statistical and machine learning models using a modeling and simulation approach to
- Translate complex finance and business-management challenges into well-defined analytical questions
- Build clean, well-structured, understandable, and maintainable code that supports collaboration
- Serve as a trusted technical advisor on data science methodologies, modeling approaches, and
- Work collaboratively across multiple teams to deliver analytics initiatives, manage stakeholder
- Mentor junior data science team members by sharing technical guidance, best practices, and
🎯 Requirements
- Bachelor’s degree with 5+ years of related professional experience, Master’s degree with 3+ years
- Deep foundational knowledge of statistical modeling and machine learning concepts, with the ability
- At least 4 years of professional experience with Python and strong proficiency in data
- Experience using version control systems such as Git within collaborative development environments.
- Hands-on experience with cloud-based data science technologies such as AWS, Azure, Databricks
- Proven ability to translate business challenges into analytical questions, develop data-driven
🎁 Benefits
- Salary: $113,900–$170,900 for Level 3 or $142,200–$213,200 for Level 4, depending on
- Additional compensation: Eligible employees may receive overtime, shift differentials, and
- Health coverage: Medical and other health insurance benefits, along with life and disability
- Financial benefits: Savings and retirement plan options to support long-term financial well-being.
- Time off: Company-paid holidays and paid time off for vacation or personal business.
- Work flexibility: Opportunity for a 100% virtual/telework arrangement, with the position based in
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