Data Science Senior Associate
| Company | JP Morgan Chase |
|---|---|
| Location | Plano, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in data science, Statistics, Computer Science, or a related field.
- Ability to tackle unstructured problems; strong learning aptitude required.
- Experience with data analytics and/or visualization techniques (e.g., SQL, Python, Tableau), as well as data warehousing technologies (e.g., Snowflake, Databricks, Redshift).
- Exceptional communication (written and verbal) and presentation skills – an ability to communicate effectively with diverse audiences across business and technology partners, including senior leadership.
- Proven experience (5+ years) in data science, analytics, or a related role, preferably within the financial services or technology industry.
- Expertise in machine learning techniques, statistical modeling, and data mining.
- Excellent problem-solving skills and the ability to work with complex data sets to derive actionable insights.
- Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audiences.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
Responsibilities
- Collaborate with product managers, engineers, and other stakeholders to understand business objectives and translate them into data-driven solutions.
- Analyze large and complex data sets to identify trends, patterns, 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 test hypotheses and validate model outcomes, ensuring accuracy and reliability.
- Create and maintain dashboards and reports to visualize key metrics and insights, facilitating informed decision-making across teams.
- Stay up to date with industry trends, emerging technologies, and best practices in data science and analytics.
- Mentor data scientists and contribute to the development of a collaborative and innovative team environment.
Preferred Qualifications
- Experience with Agile methodologies and proficiency in Atlassian tools like Jira and Jira Align to manage workflows and enhance team collaboration.
- Familiarity with analytics engineering tools like dbt and Airflow.
- Familiarity with DevEx metrics and an understanding of software deployment pipelines.
- Familiarity with AI technologies, including prompt engineering and proof-of-concept (POC) development, to leverage advanced analytics and machine learning capabilities.
- Experience with ThoughtSpot or similar data visualization tools, enhancing the ability to create intuitive and impactful data insights.
- Master’s degree in data science, Statistics, Computer Science, or a related field.