What are the responsibilities and job description for the Data Scientist position at Pinnacle Software Solutions?
Job Details
Job Title: Data Scientist
Location: Hybrid (Elk Grove, CA)
Duration: 6 Months
Job Description:
We are seeking an experienced Data Scientist to join our team, focusing on statistical modeling, data visualization, and machine learning. The ideal candidate will work closely with cross-functional teams to extract insights, design experiments, and develop explanatory models that inform decision-making. This role requires a strong foundation in statistical methodologies and hands-on experience with tools like Python, SQL, and Tableau.
Key Responsibilities:
- Develop and implement statistical models to analyze complex datasets.
- Design and execute experiments to test hypotheses and derive causal relationships.
- Build and interpret explanatory machine learning models, ensuring they align with business objectives.
- Create insightful data visualizations and dashboards using Tableau to communicate findings effectively.
- Leverage Python and SQL for data analysis, model development, and database management.
- Collaborate with cross-functional teams to address business challenges through data-driven solutions.
- Provide actionable recommendations based on model interpretations and statistical analyses.
Mandatory Skills:
- Experience: 5 years of experience in data science, focusing on statistical modeling and data visualization.
- Programming Languages: Proficiency in Python and SQL for data manipulation and modeling.
- Visualization Tools: Expertise in Tableau for creating dashboards and visual reports.
- Statistical Knowledge: Strong understanding of probabilistic and statistical modeling, experimental design, and causal analysis.
- Machine Learning: Experience with explanatory machine learning techniques and model interpretation.
Preferred Skills:
- Familiarity with additional data visualization tools or libraries (e.g., matplotlib, Seaborn).
- Experience working in a hybrid environment and collaborating with remote teams.
- Background in working with large-scale datasets and optimizing data workflows.
Education:
- Bachelor s or Master s degree in Data Science, Statistics, Computer Science, or a related field.