Principal Data Scientist

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Job Description

Job : Principal Data Scientist

Duration : Fulltime Direct-Hire

Location : On site / Hybrid Cities include : San Francisco CA, New York, Chicago, IL Scottsdale, AZ

Onsite 30 mins in candidate location

Phoenix / Chicago : $158k $205k base + ~25% bonus

SF / NY : $189k $230k base + ~25% bonus

Role Overview : Hands-on Principal Data Scientist responsible for designing, building, deploying, and maintaining production machine-learning models in financial services.

Key Responsibilities

• 70 100% hands-on coding and model development
• Build & deploy ML models into production
• Maintain & triage production models (performance, accuracy, failures)
• Work cross-functionally with Product, ML, DS, and Customer Analytics teams
• Provide internal and external thought leadership
• Help scale the data science organization
• Work with large datasets (only 1 2 models deployed per year, but high-impact)

Required Technical Skills Must-haves :

Industry / Experience Requirements

Must have Requirement Financial services background PySpark or Scala Python & SQLAWS ML / Sage Maker Production model deployment Risk model experience Triaging model performance issues