Data Scientist [Multiple Positions Available]

{"description": " Job Description

Duties: Develop and apply statistical and mathematical models to analyze complex data trends and patterns using programming tools and data analysis software languages. Generate analytical insights and develop statistical solutions that streamline business processes, uncover new opportunities, and bolster strategic decision-making. Conduct research on market trends and perform analysis of internal data. Utilize findings to craft actionable insights, guiding the strategic direction of the organization and identifying potential areas for product innovation and growth. Collaborate with cross-functional teams across product, business, and technology departments to implement data-driven strategies, in order to create and refine analytical models and algorithms. Document and communicate complex technical and analytical results tailored for a non- technical audience. Design and develop the analytical framework and algorithms for the automated application booking process for car dealers. Process monthly reporting of KPI, highlighting any anomalies in trend for senior leadership. This position requires up to 10% domestic and international travel.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Business Analytics, Information Management, Data Science, Statistics, Mathematics or related field of study plus 3 years (36 months) of experience in the job offered or as Data Scientist, Package Specialist, Data Analyst or related occupation. The employer will alternatively accept a Bachelor's degree in Business Analytics, Information Management, Data Science, Statistics, Mathematics or related field of study plus 5 years (60 months) of experience in the job offered or as Data Scientist, Package Specialist, Data Analyst or related occupation.

Skills Required: This position requires three (3) years of experience with the following: data processing and ETL (Extract, Transform, Load) procedures to extract data from multiple source systems for modelling and dashboarding; using Machine learning (ML) scripting languages, including Python and R to develop predictive models; utilizing ML algorithms such as logistic regressions, KNN, random forest, and Gradient boosting for classification problems; using private and public big data platforms, including AWS for scalable computation; using statistical concepts for data analysis, including normal distribution, Bernoulli distribution, Bayesian inference, and sampling data to derive inference; developing analytical solutions for business operations utilizing data analysis with statistical software such as R or Alteryx; presenting business insights and economic research results to a non-technical audience, by performing statistical analysis. This position requires two (2) years of experience with the following: using database systems such as Teradata, Oracle, or Snowflake, for establishing connections, designing, maintaining, and fetching data from schemas and tables; using SQL for database querying and manipulating large datasets with complex joins, subqueries, and window functions.

Job Location: 8181 Communications Pkwy, Plano, TX 75024. This position requires up to 10% domestic and international travel.

Full-Time.

About Us

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

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.", "salary_raw": "Row(double=None, string=None)"}