Data Scientist

About the position

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.

Responsibilities

• 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

Requirements

• 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

Nice-to-haves

• 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)

Benefits

• Medical, Dental, Vision, Health Savings Account
• Life Insurance and Other Insurance Plans
• Flexible Paid Time Off (including Parental Leave)
• Paid Holidays
• 401(k)
• Short/Long Term Disability