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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataInsights Inc.
San Francisco
Salary Estimate
USD 140.000 – USD 190.000
Latest
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join DataInsights Inc., a leading AI-driven analytics firm revolutionizing how businesses leverage data. We're seeking a passionate Senior Data Scientist to architect cutting-edge solutions that transform raw data into strategic insights. You'll collaborate with cross-functional teams to design scalable ML models, drive data-driven decision-making, and mentor junior analysts in our fast-paced, innovation-focused environment.

Why DataInsights? We offer competitive equity packages, flexible work arrangements, and access to state-of-the-art cloud infrastructure. Our team of Nobel laureates and PhDs pushes the boundaries of what's possible in predictive analytics.

Responsibilities

  • Design, develop, and deploy machine learning models for predictive analytics and business intelligence
  • Translate complex business problems into data-driven solutions using Python, R, and SQL
  • Create automated ETL pipelines and optimize data processing workflows using Apache Spark
  • Present findings to C-level executives through compelling visualizations using Tableau/Power BI
  • Mentor junior data scientists and conduct code reviews to maintain technical excellence
  • Stay current with emerging ML techniques and implement A/B testing frameworks
  • Collaborate with product teams to integrate analytics features into core offerings

Qualifications

  • 5+ years of experience in data science with 3+ years in ML model deployment
  • Expertise in Python (Pandas, Scikit-learn), SQL, and cloud platforms (AWS/GCP)
  • Strong statistical background with experimental design experience
  • Proven track record of delivering production-grade ML systems
  • Advanced degree in Data Science, Statistics, Computer Science, or related field
  • Excellent communication skills for technical and non-technical stakeholders
  • Experience with big data technologies (Hadoop, Kafka, Spark)
  • Portfolio demonstrating complex ML projects with measurable impact

Required Skills

Python SQL Machine Learning AWS TensorFlow Statistical Analysis Data Visualization Big Data A/B Testing

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