Data Scientist (Associate) (Remote)

Verified Job On Employer Career SiteJob Summary: Cobalt is a company dedicated to enhancing security through innovative pentesting solutions. They are seeking a proactive and analytical Data Scientist to transform complex raw data into actionable insights that drive strategic business decisions and improve operational efficiency, while collaborating with cross-functional teams and contributing to data science initiatives. Responsibilities: • The Data Scientist will systematically gather, clean, and preprocess large, often complex and varied, datasets from diverse primary and secondary sources.

• The individual will conduct thorough exploratory data analysis to uncover hidden patterns, significant trends, and critical anomalies within datasets, leading to the generation of insightful hypotheses. • A core responsibility involves collaborating effectively with the Director of Data Science and senior data scientists to design, develop, train, and fine-tune various machine learning models. • The Data Scientist will be responsible for creating clear, compelling, and intuitive data visualizations, interactive dashboards, and detailed reports.

• This role requires working in close partnership with data engineers to meticulously define data requirements, construct robust data pipelines, and ensure the necessary infrastructure and tools are in place to support model training and evaluation. • Under the direct guidance and oversight of the Director of Data Science, the Data Scientist will contribute to the establishment and promotion of best practices in data quality, experimental design, and model reproducibility. Qualifications: Required: • 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 from their conception to the delivery of insights. • Exceptional ability to dissect complex business problems, identify underlying causes, and develop innovative, data-driven solutions. • Excellent verbal and written communication skills. • Proven ability to effectively convey complex technical concepts and data insights to diverse audiences, including non-technical business stakeholders and senior leadership. • Demonstrated ability to work effectively and contribute positively within a collaborative team environment.

• Meticulous attention to detail and a strong commitment to ensuring data accuracy, quality, and the robustness of analytical outputs. • Proficiency in Programming Languages: A strong command and hands-on proficiency in Python (including key libraries such as Pandas, NumPy, and Scikit-learn) and/or R. • Expert-level proficiency in SQL for efficient querying, extraction, and management of data from relational databases. • Solid foundational understanding and practical application of statistical concepts, including hypothesis testing, A/B testing, regression analysis, probability distributions, and statistical significance. • Hands-on experience with a variety of supervised and unsupervised machine learning algorithms. • Demonstrated experience with data visualization libraries (e.

g. , Matplotlib, Seaborn, ggplot2) and/or business intelligence tools like Tableau or Power BI. • Familiarity and practical experience with version control systems, particularly Git. Company: Cobalt is a PtaaS platform for security and development teams as well as infuses manual security testing with transparency. Founded in 2013, the company is headquartered in Boston, Massachusetts, USA, with a team of 201-500 employees. The company is currently Growth Stage.