Senior Data Scientist

About the role

AdventHealth is hiring a Senior Data Scientist in Ocala, Florida, to use advanced predictive modeling to support consumer-facing digital products. The role designs studies, tests hypotheses, turns data into actionable plans and works with cross-functional teams to implement machine learning and cloud-based analytic solutions. It also involves mentoring data scientists and communicating findings to leadership.

Key responsibilities

• Transform large amounts of complex data into business insights using statistics, machine learning, pattern recognition, text mining and parallel/distributed computing.
• Identify data abnormalities and their root causes and suggest mitigation steps.
• Perform ad-hoc studies, develop analytic reports and formulate validation strategies.
• Lead analytic approaches and integrate work with data engineers, business leads, analysts and developers.
• Create iterative, interpretable, dynamic and scalable models and engineer features from internal and external structured and unstructured data.
• Develop long-term processes, frameworks, tools, methods and standards, and share knowledge with the wider enterprise.

Required profile

• Master's degree in Data Science, Statistics, Mathematics, Artificial Intelligence, Quantitative Methods or a closely related quantitative field.
• 6+ years of data science experience and 5+ years in healthcare, preferably in a large health system.
• 7+ years of relevant data science and unsupervised research experience, including research work experience.
• Healthcare business acumen and industry knowledge, and a proven record of healthcare data mining results.
• Experience with healthcare data platforms such as Epic and Cerner; working in a large healthcare system is a strong plus.
• Ability to explain techniques and discoveries to technical and non-technical audiences, and demonstrated ability to write scholarly publications.

Required skills

• Small data modeling with Python, R, Julia or Octave; big data modeling with Hadoop, Pig, Scala or Spark.
• Data mining with SQL, Pandas or MongoDB; production development with Java, Python or C++.
• Data visualization with BI tools such as PowerBI or Tableau.
• Advanced statistical modeling, machine learning algorithms and real-time data analytics.
• Cloud computing and data integration (Azure, Data Factory, Snowflake).
• Optimization, predictive models and text analytics/NLP.

What we offer

• Medical, dental, vision, life and disability insurance from day one.
• Paid time off from day one and 4 weeks of 100% paid parental leave.
• 403(b) retirement plan and career development resources.
• Well-being and mental health resources, and pet benefits.
• Full-time day shift.

Pay range: $97,219.20 - $180,835.20. Positions are subject to Florida Level 2 background screening, including fingerprinting. The employer is an equal opportunity employer.