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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataVyne Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Latest
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join DataVyne Analytics, a trailblazing data intelligence firm transforming global industries through cutting-edge analytics. We seek a visionary Senior Data Scientist to architect and deploy scalable machine learning solutions that drive actionable business insights. Our collaborative culture thrives on innovation, where your expertise will directly influence product development and strategic decisions.

As a key member of our AI Research Lab, you'll leverage state-of-the-art tools to solve complex challenges in predictive modeling, natural language processing, and big data analytics. We offer competitive compensation, flexible work arrangements, and continuous learning opportunities including conference sponsorships and tuition reimbursement.

Responsibilities

  • Design, develop, and deploy ML models for predictive analytics and recommendation systems
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Conduct A/B testing and statistical analysis to validate model performance
  • Create interactive dashboards and data visualizations using Tableau and D3.js
  • Lead data preprocessing initiatives involving ETL pipelines and data quality frameworks
  • Mentor junior data scientists and conduct code reviews
  • Stay current with academic research and implement novel algorithms

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field
  • 5+ years of experience in applied machine learning and statistical modeling
  • Proficiency in Python (scikit-learn, TensorFlow, PyTorch) and SQL
  • Strong expertise in data visualization tools (Tableau, Power BI, Matplotlib)
  • Experience with cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
  • Published research or portfolio demonstrating NLP/CV projects
  • Excellent communication skills with ability to articulate complex concepts to stakeholders
  • Track record of deploying production-level ML systems

Required Skills

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

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