

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, focused on identity and fraud solutions. Contract length is unspecified, with a remote work location and a pay rate of "unknown." 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
May 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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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
#Deployment #ML (Machine Learning) #Pandas #Looker #Snowflake #Statistics #R #PyTorch #Anomaly Detection #Storytelling #Monitoring #Python #Data Science #SQL (Structured Query Language) #AWS (Amazon Web Services) #Java #TensorFlow #Cloud #Data Storytelling
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
#DataScience #MachineLearning #DataScientist #IdentityVerification #Fintech #MLOps #Python #Hiring #TechJobs #RemoteWork #NowHiring
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
#DataScience #MachineLearning #DataScientist #IdentityVerification #Fintech #MLOps #Python #Hiring #TechJobs #RemoteWork #NowHiring






