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Data Scientist

Company: FinWise Bank
Location: Salt Lake City
Posted on: May 16, 2022

Job Description:

Job DescriptionSalary: About FinWise:Named the #1 performing community bank in the country in the $300 million to $1 billion category*, FinWise is the financial tech bank with a community heart. We offer big-bank security with community bank service. Our goal is to make financing, banking, and investing simple for friends and neighbors. With on-the-go services like mobile banking and onsite advisors who can help you with your financial goals, we have everything you expect from a big bank, with none of the hassles. FinWise provides its customers with personalized financial wisdom. Join us and be part of something great!* https://independentbanker.org/2022/05/the-top-performing-community-banks-of-2021/About the Job:FinWise Bank is looking for a Data Scientist who will support our internal business units, including product, sales, leadership, and marketing, with insights gained from analyzing company data. The ideal candidate is at home with large data sets to find predictive and prescriptive courses of action opportunities. They must have strong and demonstrated experience with various data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with various stakeholders and functional teams. The right candidate will be passionate about discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. This position reports to the Director of Data Services. Tasks:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.Knowledge, Skills and Abilities:
    • Strong problem-solving skills with an emphasis on product development.
    • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
    • Experience working with and creating data architectures.
    • Knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
    • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and experience with applications.
    • Excellent written and verbal communication skills for coordinating across teams.
    • A drive to learn and master new technologies and techniques. Required Education /Experience / License
      • 5+ years of experience manipulating data sets and building statistical models.
      • Master's, Doctorate or Ph.D. in Statistics, Mathematics, Computer Science, or another quantitative field
      • Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
      • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
      • Experience querying databases and using statistical computer languages: R, Python, T-SLQ, etc.
      • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
      • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
      • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
      • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
      • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.Preferred Education /Experience / License
        • Technical education in computer science, computer programming, or related field
        • 2+ years working in IT in a banking environment or similar
          • Professional AI/ML/BI certifications preferred
          • Experience automating data science models and data pipelines
          • Strong understanding of Software Development
            • Experience in building models from scratch Minimum Essential Requirements:
              • Sit or stand at a computer for long periods of time and look at a computer screen for several hours a day.
              • Work at an assigned FinWise office location.
              • Communicate with others in person, on the phone, virtual meeting, and email.
              • Maintain confidentiality.
              • Lift 20 lbs.
              • Maintain regular and punctual attendance.
              • Work overtime as assigned.
              • Travel overnight as required.
              • Work cooperatively with others.
              • Driving during the workday.
              • Comply with all company policies and procedures. Background check are required on all bank employees due to accessibility of Personally Identifiable Private Information.AAP/EEO Statement FinWise is an equal opportunity employer and dedicated to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender identity, sexual orientation, age, marital status, pregnancy status, veteran status, or disability status. FinWise provides reasonable accommodations to the known disabilities of individuals in compliance with the Americans with Disabilities Act. For accommodation information or if you need special accommodations to complete the application process, please contact the Human Resources Department at (801) 545 - 6041. Qualified applicants with criminal history and conviction records will be considered in accordance with legal requirements.

Keywords: FinWise Bank, Salt Lake City , Data Scientist, Other , Salt Lake City, Utah

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