DESCRIPTION:
Duties: Build, implement, test, and analyze ML/AI products & solutions. Conduct A/B testing, automate complex A/B reports, and demonstrate analytical thinking. Convert data into actionable insights. Leverage a variety of statistical and mathematical techniques and algorithms such as AI/ML, Optimization, time series analysis, or dimensionality reduction to analyze a variety of datasets to solve business problems. Design controlled experiments to test and validate hypotheses. Translate business needs into data models supporting long- term solutions. Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Business Administration, Applied Mathematics, Statistics, Engineering, Computer Science or related field of study plus Two (2) years of experience in the job offered or as Data Scientist, Quant Analytics Associate, or related occupation. The employer will alternatively accept a Bachelor's degree in Business Administration, Applied Mathematics, Statistics, Engineering, Computer Science or related field of study plus five (5) years of experience in the job offered or as Data Scientist, Quant Analytics Associate, or related occupation.
Skills Required: This position requires two (2) years of experience with the following: Applying statistical analysis and predictive modeling techniques to drive strategic decision-making and business outcomes; Creating data visualizations and dashboards to uncover actionable insights that guide business strategy and operations; Writing SQL queries including Common Table Expressions, window functions, dynamic SQL, and joins across database platforms including MySQL and PostgreSQL; Manipulating and analyzing datasets using pandas; Creating data visualizations with Matplotlib and Seaborn; Developing interactive analytical tools with Jupyter Notebooks; Designing and implementing automated data collection systems to support A/B testing initiatives; Generating performance reports using Python libraries including SciPy, Statsmodels, and NumPy; Applying optimization techniques and algorithms to resolve operational challenges and improve business processes; Implementing traditional machine learning algorithms and methodologies for predictive analytics and data-driven insights.
Job Location: 7255 Baymeadows Way, Jacksonville, FL 32256.
Full-Time.
About Company
Company
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans