Data Scientist Associate - SQL, Python, Tableau

Join us to shape the future of technology efficiency and innovation through impactful data science solutions.

As a Data Scientist Associate within the Data and Analytics Team, you will leverage data-driven insights to improve technology efficiency and the developer experience. You will collaborate with cross-functional teams to deliver actionable analytics that drive business outcomes and support the firm’s strategic objectives.

Job responsibilities

• Collaborate with product managers, engineers, and stakeholders to translate business objectives into data-driven solutions
• Analyze large and complex data sets to identify trends and opportunities for improvement in the product development life cycle
• Develop and implement predictive models and machine learning algorithms to forecast product performance and operational processes
• Design and conduct experiments to validate model outcomes and ensure accuracy
• Create and maintain dashboards and reports to visualize key metrics and insights
• Stay current with industry trends, emerging technologies, and best practices in data science
• Contribute to a collaborative and innovative team environment

Required qualifications, capabilities, and skills

• Bachelor’s degree in data science, statistics, computer science, or a related field
• Three years of experience in data science, analytics, or a related role.
• Proficiency in data analytics and visualization techniques such as SQL, Python, and Tableau, and experience with data warehousing technologies like Snowflake, Databricks, or Redshift
• Expertise in machine learning techniques, statistical modeling, and data mining
• Ability to tackle unstructured problems and learn quickly
• Excellent problem-solving skills and ability to derive actionable insights from complex data sets
• Strong communication and presentation skills, with the ability to engage both technical and non-technical audiences

Preferred qualifications, capabilities, and skills

• Experience with Agile methodologies and proficiency in Atlassian tools such as Jira and Jira Align
• Familiarity with analytics engineering tools like dbt and Airflow
• Understanding of DevEx metrics and software deployment pipelines
• Experience with AI technologies, including prompt engineering and proof-of-concept development
• Experience preferably within financial services or technology