Data Scientist

1 month ago

Pleasanton, United States Mastech Digital Full time

Position: Data Scientist

Location: Pleasanton, CA 94588 (Fully Remote - Must work in PST hours)

Duration: 5+ Months (High possibility to extend)


Education Required: Master’s Degree or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field


Experience Required: Minimum of 10 years in data science or related roles


Job Overview:

We are seeking a highly skilled Data Scientist with extensive experience in data analysis, statistical modeling, and machine learning. The ideal candidate will have a strong background in data science methodologies, be proficient in relevant programming languages, and possess advanced problem-solving skills. This role requires the ability to work independently in a fully remote setting while adhering to PST working hours.


Key Responsibilities:

  • Develop and implement complex data models and machine learning algorithms.
  • Create and manage data architectures to support analytical and operational processes.
  • Utilize statistical programming languages (e.g., Python, R, SQL) to analyze large datasets and generate actionable insights.
  • Design and execute advanced statistical techniques, including regression, clustering, and decision trees.
  • Analyze data from various third-party providers and integrate findings into comprehensive reports.
  • Visualize data and present findings to stakeholders using tools such as Periscope, Business Objects, D3, and ggplot.
  • Support ongoing data science initiatives and provide actionable recommendations for business improvements.


Top Skills Required:

  • Technical Expertise: Proficiency in statistical and data mining techniques, such as GLM Regression, Random Forest, Boosting, and text mining.
  • Programming: Strong knowledge of programming languages including Python, R, SQL, and familiarity with Java, C++, and JavaScript.
  • Machine Learning: Experience with machine learning techniques such as clustering, neural networks, regression, and decision trees.
  • Data Architecture: Ability to design and work with complex data architectures and large datasets.
  • Web Services & Tools: Experience with web services (e.g., Redshift, S3, Spark), distributed computing tools (e.g., Hadoop, Hive), and data visualization tools.


Desired Skills:

  • Problem Solving: Strong analytical skills with an emphasis on product development and data-driven decision-making.
  • Communication: Excellent written and verbal communication skills for cross-team coordination and stakeholder interaction.
  • Learning Drive: Proactive attitude towards learning new technologies and techniques.


Soft Skills:

  • Team player with the ability to work collaboratively across functions.
  • Skilled in gathering and interpreting business requirements for reporting and analysis.
  • Effective in managing and presenting data findings to diverse audiences.


Interview Process:

  • Candidates will undergo both technical and management interviews to assess their fit for the role.

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