Data Scientist

Data Scientist

Posted Today by Tech Observer

Negotiable
Undetermined
Remote
Remote

Summary: The Sr. Data Scientist role involves collaborating with product and engineering teams to enhance cloud infrastructure and improve analytical offerings. The position requires deep engagement with clients to translate their analytical needs into actionable product enhancements. Candidates should possess extensive experience in data science and a strong command of statistical analysis and data science toolkits. The role is remote but requires working in the PST time zone.

Key Responsibilities:

  • Work closely with product and engineering teams to support and understand the cloud infrastructure that runs the models.
  • Dive deep with internal and external clients to understand their measurement and analytical needs and translate them into product improvements.
  • Help design new offerings in the analytical space.

Key Skills:

  • Bachelors with 10-15+ years of experience, Masters with 3+ years of experience, or PhD with 0-2 years of experience in a data science related field (mathematics, statistics, computer science, etc.).
  • Strong command of probability and statistics.
  • Fluency in data and statistical analysis using SQL, Python, and PySpark.
  • Strong command of data science toolkits (Pandas, NumPy, scikit-learn, etc.)
  • Understanding of cloud platforms (AWS, Google Cloud Platform, etc.) and relational databases.
  • Familiarity with fundamentals of randomized-controlled trials, A/B testing, and mar-tech/ad-tech measurement.
  • Strong understanding of large-scale data analysis, fine-tuning of Spark jobs, and optimizing Spark SQL/PySpark models.
  • Knowledge of Business Intelligence tools to build visualizations.

Salary (Rate): £60

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: Sr. Data Scientist
Location: San Francisco, CA / New York, NY / Seattle, WA / Little Rock, AR (Remote)
Need To Work in PST Time Zone

Your team will:

Work closely with product and engineering teams to support and understand the cloud infrastructure that runs the models.
Dive deep with internal and external clients to understand their measurement and analytical needs and translate them into product improvements.
Help design new offerings in the analytical space.
Required Skills:
Bachelors with 10-15+ years of experience, Masters with 3+ years of experience, or PhD with 0-2 years of experience in a data science related eld (mathematics, statistics, computer science, etc.).
Strong command of probability and statistics.
Fluency in data and statistical analysis using SQL, Python, and PySpark.
Strong command of data science toolkits (Pandas, NumPy, scikit-learn, etc.)
Understanding of cloud platforms (AWS, Google Cloud Platform, etc.) and relational databases.
Familiarity with fundamentals of randomized-controlled trials, A/B testing, and mar-tech/ad-tech measurement.
Strong understanding of large-scale data analysis, ne-tuning of Spark jobs, and optimizing Spark SQL/PySpark models.
Knowledge of Business Intelligence tools to build visualizations.