What are the responsibilities and job description for the Data Scientist position at LEARFIELD?
At Learfield, we rely on insightful data to power our systems and solutions. We’re seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have a passion for data and analytics, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. The data scientist will play a key role in shaping the future decision making of our organization by extracting meaningful insights from complex datasets.
As Data Scientist, you will report to the Director, Enterprise Applications. Additionally, you will work closely with the senior members of the IT team and across the organization.
The Person
Learfield is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
As Data Scientist, you will report to the Director, Enterprise Applications. Additionally, you will work closely with the senior members of the IT team and across the organization.
The Person
- A passion for data analytics and BI with a knack for finding innovative solutions.
- A talent for design with a keen eye for detail, structured thinking, and best practice
- Ability to work in a fast-paced and agile environment.
- Good communication skills and the ability to work with business leaders
- Both architectural and hands on, with the ability to specify and build.
- Quick learner that will understand our business requirements to create unique solutions
- Plan, design, develop and maintain data architecture and models for data integration projects in Microsoft Fabric
- Collect, Analyze and interpret data from various sources to identify trends and patterns.
- Create dashboards and reports to visualize key insights that empower stakeholders across different teams within Learfield
- Implement analytical models in production by collaborating with business leaders
- Implement ETL processes to extract data from diverse sources, transform it into suitable formats, and load it into the data warehouse or analytical systems.
- Identify and create new datasets that can be leveraged through our product capabilities, and work closely with the infrastructure team in the development of data products
- Execute analytical experiments to help solve problems across various domains and industries
- Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
- Six or more years of experience in data analytics
- Data architecture, design, development, and implementation, using cloud technologies for large scale data solutions.
- Strong understanding of statistical methods, data modeling, and predictive analytics.
- Experience with PowerBI, SQL, and programming languages (ex: Java/Python, SAS)
- Experience working with APIs
- Ability to multi-task and juggle multiple concurrent projects
- Outstanding communication skills and collaboration capabilities
- Strong design, coding, debugging, and problem-solving skills
- Ability to architect solutions using Microsoft's data, analytics and AI solutions and in particular MS Fabric
- Hands on ADF, Azure Databricks, Datalake and Power BI experience
- Bachelor’s degree (or equivalent) in statistics, applied mathematics, Computer Science or related discipline
- Professional certification (Microsoft Certified: Fabric Data Engineer Associate, Microsoft Certified: Fabric Analytics Engineer Associate)
- Design and build net new data warehouse for internal BI use
- Collaborate with product design and engineering teams to develop an understanding of needs
- Research and devise innovative statistical models for data analysis
- Develop reports and dashboards for stakeholders
- Communicate findings to all stakeholders
- Enable smarter business processes by using analytics for meaningful insights
- Keep current with technical and industry developments
Learfield is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.