

OpalSoft
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with 5+ years of experience in ML and statistics, focusing on fraud and identity problems. Contract length is unspecified, with a pay rate of "unknown." Remote work is available. Key skills include Python, SQL, and AWS proficiency.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Statistics #Data Storytelling #Cloud #Storytelling #Monitoring #Anomaly Detection #PyTorch #Java #Snowflake #Python #TensorFlow #Pandas #Deployment #AWS (Amazon Web Services) #R #SQL (Structured Query Language) #Looker #Data Science #ML (Machine Learning)
Role description
We're looking for a Senior Data Scientist who loves building models that actually ship. If you thrive at the intersection of statistical rigor, production ML, and real business impact - this role is for you.
What you'll do:
• Build and tune statistical and ML models that solve identity and fraud problems at a massive scale
• Monitor deployed models in production — catch drift early, recommend retraining, keep performance sharp
• Translate model outputs into clear recommendations for product and business teams
• Work side-by-side with ML Engineers from research through deployment
• Help shape customers' data science standards and playbooks
What you'll bring:
• 5+ years applying ML and statistics to real business problems
• Master's or PhD in Statistics, CS, Data Science, or equivalent experience
• Strong Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL (Snowflake)
• Experience with production ML environments — deployment, APIs, monitoring
• AWS cloud proficiency
• Excellent communication skills — you can explain a model to an engineer and a CFO
Nice to have:
• Fraud detection, anomaly detection, or identity verification domain experience
• Familiarity with Looker for dashboards and data storytelling
• Graph ML or network analysis experience
• Experience with Go, R, or Java
We're looking for a Senior Data Scientist who loves building models that actually ship. If you thrive at the intersection of statistical rigor, production ML, and real business impact - this role is for you.
What you'll do:
• Build and tune statistical and ML models that solve identity and fraud problems at a massive scale
• Monitor deployed models in production — catch drift early, recommend retraining, keep performance sharp
• Translate model outputs into clear recommendations for product and business teams
• Work side-by-side with ML Engineers from research through deployment
• Help shape customers' data science standards and playbooks
What you'll bring:
• 5+ years applying ML and statistics to real business problems
• Master's or PhD in Statistics, CS, Data Science, or equivalent experience
• Strong Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL (Snowflake)
• Experience with production ML environments — deployment, APIs, monitoring
• AWS cloud proficiency
• Excellent communication skills — you can explain a model to an engineer and a CFO
Nice to have:
• Fraud detection, anomaly detection, or identity verification domain experience
• Familiarity with Looker for dashboards and data storytelling
• Graph ML or network analysis experience
• Experience with Go, R, or Java






