Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
About the role
- Data Scientist creating valuable insights from Prodege’s first-party data through analytics solutions and machine learning. Collaborating with teams to deliver business needs and improve data quality.
Responsibilities
- Building analytical models, applying machine learning techniques, and visualizing data trends.
- Programming, automation, data extraction, and system integration.
- Ensuring data integrity and improving data accuracy through collaboration with internal and external teams.
- Collaborate with Data and Insights team members to build analytics tools centered on Prodege’s various data assets.
- Lead the application of advanced descriptive, predictive, and prescriptive analyses along with NLP and AI-based techniques.
- Use 3rd-party and homegrown software to expand access to data, visualize data trends, and inspire the use of data-based solutions.
- Design and create data models, algorithms, KPIs, and weighting methods utilizing open-source libraries to generate standard and projected statistics describing data trends.
- Synthesize data assets to discover bespoke insights and communicate this information to clients.
- Program, automate, and maintain processes using general-purpose programming languages to support key initiatives across the organization.
- Locate and integrate outside data sources to help extract and validate valuable insights.
- Generate data extracts for internal and external customers in accordance with Prodege’s data-sharing best practices.
- Assist internal and 3rd party data coding teams to improve quality of the data assets.
Requirements
- A Bachelor’s degree in Computer Science, Statistics, Mathematics, or Data Science fields
- Three or more (3+) years experience providing data extraction and data analysis for internal and external stakeholders.
- Experience with Python and open-source libraries.
- Experience building scripts to automate data-based tasks.
- Experience working with customers to provide data-based solutions.
- Experience with CPG/ omni-channel retail Market Research.
- Experience utilizing Applied Statistics on work projects.
- Experience crafting surveys using quantitative and qualitative research methods.
- Experience transforming and analyzing survey data.
- Experience with visualization tools like SIGMA, Tableau or Crunch.io.
- Experience with predictive and prescriptive analytical methods.
- Experience with Natural Language Processing techniques and use-cases.
- Experience with Machine Learning techniques and use-cases.
- Strong SQL knowledge and skills.
- Excellent attention to detail.
- Strong verbal and written communication skills.
- Strong Relational DB experience.
- Database privacy/ security knowledge and appreciation
- Semi-structured data experience.
- Proficient in critical thinking and problem solving.
- Ability to QA data in all its forms.
Benefits
- medical
- dental
- vision
- STD
- LTD
- basic life insurance
- flexible PTO
- paid sick leave prorated based on hire date
- eight paid holidays throughout the calendar year
- option to purchase shares of Company stock commensurate with their position, which vests over four years
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.
Data Science Internship at Engineering focused on empowering digital transformation. Join a team that values innovative solutions and professional growth in IT.
Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
Data Scientist developing statistical models and rules for Allegro's eCommerce platform. Driving insights and collaborating across teams to improve product catalog and selection.
Data Scientist developing statistical models and improving product quality for Allegro's eCommerce platform. Collaborating with cross - functional teams to deliver insights and drive business solutions.
Data Scientist at Imprint leveraging data analytics to enhance co - branded credit card offerings and optimize financial product decisions. Collaborating with cross - functional teams in a high - impact role.
Senior Data Scientist leveraging advanced analytical techniques to support Walmart's strategic objectives. Collaborating across functions, mentoring team members, and ensuring data governance standards.
Principal Data Scientist formulating strategies for AI/ML deployment in production at Walmart Global Tech. Leading projects involving state - of - the - art LLMs and collaborating with cross - functional teams.