Contractor Data Scientist

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.