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Data Analyst Data Scientist Machine Learning/ ML Engineer Data Engineering

Sr Data Scientist

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 140000 USD Yearly USD 80000.00 140000.00 YEAR
Job Description & How to Apply Below

Experience requested: Databricks. Deep learning, reinforcement learning, optimization, ML.

The Senior Data Scientist will be responsible for analyzing complex data sets, developing custom models and algorithms to drive business solutions, and creating visualizations using Power BI. The role will involve collaborating with cross-functional teams to identify opportunities for leveraging company data to drive business solutions.

Key Responsibilities
  • Analyze and interpret large and complex data sets to derive insights and identify trends.
  • Develop and implement custom machine learning models and algorithms to support business objectives.
  • Create interactive and insightful visualizations using Power BI to present data-driven insights to stakeholders.
  • Collaborate with business stakeholders to understand their goals and translate them into technical requirements.
  • Work closely with data engineers to ensure data quality and accuracy for analysis.
  • Stay updated on industry trends and advancements in data science to continuously improve data methodologies.
    • Skill Requirements
  • Strong proficiency in data science techniques and tools such as machine learning, statistical modeling, and data mining.
  • Proficiency in Power BI for data visualization and reporting.
  • Advanced programming skills in Python for data analysis and model development.
  • Solid understanding of database management and SQL for data querying and manipulation.
  • Excellent communication and presentation skills to effectively convey complex findings and insights to non-technical stakeholders.
  • Strong problem-solving and analytical skills to tackle complex data challenges efficiently.

    • Certifications: Relevant certifications in data science, Power BI, and Python are a plus.

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