Data Scientist

Summary

Join Cobalt, a company committed to helping organizations operate fearlessly and innovate securely, as a Data Scientist. This role involves transforming complex data into actionable insights to drive strategic business decisions and improve operational efficiency. You will be a key contributor to data science initiatives, working closely with the Director of Data Science and cross-functional teams. This position offers significant opportunities for hands-on machine learning model development, in-depth data analysis, and active participation in the full data science project lifecycle. You will receive direct mentorship and a clear professional growth path. Cobalt offers competitive compensation, equity, and benefits, including 401(k), health insurance, paid time off, parental leave, and stipends for wellness, work-from-home equipment, and learning and development.

Requirements

• A minimum of 3+ years of demonstrable professional experience in a Data Scientist, Data Analyst, or a closely related quantitative role
• Proven track record of applying analytical techniques to solve real-world problems
• Experience working with large, diverse datasets and contributing to data-driven projects
• Exceptional ability to dissect complex business problems and develop data-driven solutions
• Excellent verbal and written communication skills
• Ability to convey complex technical concepts to diverse audiences
• Demonstrated ability to work effectively in a collaborative team environment
• Meticulous attention to detail and a strong commitment to data accuracy and quality
• Proficiency in Python (including Pandas, NumPy, and Scikit-learn) and/or R
• Expert-level proficiency in SQL
• Familiarity with database concepts and schemas
• Solid understanding of statistical concepts, including hypothesis testing and regression analysis
• Hands-on experience with supervised and unsupervised machine learning algorithms
• Demonstrated experience with data visualization libraries (e.g., Matplotlib, Seaborn, ggplot2) and/or business intelligence tools
• Familiarity with version control systems, particularly Git

Responsibilities

• Data Collection, Cleaning, and Preprocessing
• Systematically gather, clean, and preprocess large datasets from diverse sources
• Implement robust data wrangling techniques, including handling missing values and outliers
• Transform raw data into an optimized format for analysis and modeling
• Exploratory Data Analysis (EDA) and Hypothesis Testing
• Conduct thorough exploratory data analysis to uncover patterns, trends, and anomalies
• Apply statistical tools to validate hypotheses and derive actionable conclusions
• Translate raw data into meaningful observations to guide strategic choices
• Machine Learning Model Development and Implementation
• Collaborate to design, develop, train, and fine-tune machine learning models
• Assist in implementing and deploying models into production environments
• Design and execute experiments to test model performance and optimize hyperparameters
• Data Visualization and Reporting
• Create clear, compelling data visualizations, dashboards, and reports
• Communicate complex findings and insights to technical and non-technical stakeholders
• Translate technical results into actionable recommendations
• Collaboration and Communication
• Work with data engineers to define data requirements and construct data pipelines
• Engage with cross-functional teams to understand challenges and integrate data insights
• Proactively participate in team meetings and present project progress
• Contribution to Data Strategy and Best Practices
• Contribute to the establishment and promotion of best practices in data quality and model reproducibility
• Identify and propose opportunities for automation and optimization of data processes

Benefits

• Competitive compensation and an attractive equity plan
• 401(k) program (US)
• Medical, dental, vision and life insurance (US)
• Wellness stipends
• Work-from-home equipment & wifi stipends
• Learning & development stipends
• Flexible, generous paid time off
• Paid parental leave