Associate Scientist Jobs

About The Position

Requirements

• Bachelor's degree in Applied Mathematics, Computer Science, Statistics, or a related quantitative field (or equivalent experience)
• Minimum 2 years of experience in data science, data analytics, or a related field
• Proficiency in Python and SQL for data analysis and data manipulation
• Experience working with relational and/or non-relational databases (e.g., MySQL, SQL Server, Snowflake, MongoDB)
• Experience performing data cleaning, transformation, and validation
• Demonstrated ability to analyze datasets and deliver actionable insights
• Strong written and verbal communication skills
• Experience using statistical computer languages (e.g., R, Python, SQL) to manipulate data and draw insights from large data sets.
• Experience scripting and programming in several languages with common data science toolkits.
• Proficient use of query languages (e.g., SQL, MDX) and experience working with relational (e.g., MySQL, SQL Server, Oracle, Snowflake, Redshift) and non-relational (e.g., Mongo, NoSQL) databases.
• Proven problem-solving and decision-making skills, and the ability to uncover root cause and evaluate different solution options.
• Experience in data science, analytics, IT, cognitive engineering, or related fields.
• Ability to write high-quality Python code.

Nice To Haves

• Master’s degree in Data Science, Computer Science, Statistics, or a related field
• Experience building and maintaining ETL pipelines and data workflows
• Experience with workflow orchestration tools such as Apache Airflow (DAG development)
• Experience with machine learning or statistical modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI, D3.js)
• Experience working with large-scale or enterprise datasets
• Familiarity with Git, version control, and testing frameworks
• Experience designing data architecture or automated data system

Responsibilities

• Analyze and interpret medium to large datasets to solve data analytic problems in support of institutional decision making
• Build, test, and optimize statistical, predictive, and machine learning models
• Develop and deploy data pipelines, workflows, and automated processes
• Partner with stakeholders to translate business needs into analytical solutions
• Perform data cleansing, validation, and transformation to ensure data integrity
• Design and evaluate experiments, including A/B testing methodologies
• Create reports, dashboards, and presentations to communicate insights clearly
• Monitor project timelines, deliverables, and stakeholder communications
• Maintain technical documentation and support continuous process improvement

Benefits

• Benefits-eligible employees are provided with a broad range of benefits and perks to help protect their and their dependents’ health, wealth, and future.