Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
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
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