Job Overview:
The Data Scientist will be an integral member of the Data Science team and will be responsible for modeling business problems and discovering business insights through the use of statistical, algorithmic, mining, and visualization techniques. The Data Scientist supports the senior leadership with insights, management reports, and analysis for decision-making processes.
1. Analyze and model structured as well as semi structured data and implement algorithms to support analysis using statistical methods from statistics, machine learning & data mining
2. Utilize a diverse array of technologies and tools as needed, to deliver insights, such as Alteryx, R, Python, Spark and Tableau.
3. Translate business analytics problems into technical approaches that yield actionable recommendations through insightful visualizations, reports and presentations
4. Process and clean the data needed for analysis - feature engineering
5. Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships
6. Certification Requirements - Epic Cognitive Computing, Alteryx & Python certification using internal training tools expected within 1 year of hire date as well as maintaining your continued education credits.
Job Requirements:
Master's degree in computer science, Information Systems, Business Analytics, Statistics, Engineering or related fields
Equivalent relevant experience accepted in lieu of degree
Epic Cognitive Computing Certification (
Python Certification (
Alteryx Certification (
1. Experience with SQL and related data access tools
2. Experience with open-source tools for machine learning
3. Experience in creating rich custom data visualizations
4. Strong problem solving, analytical & story telling skills
2-3 years Technical Statistics
Proficient in Analytics, Data mining, Machine Learning, Natural Language Processing, Mathematical Optimization & Simulation
Up to 1-year Clinical Healthcare
Job Responsibilities:
Develops appropriate analytical, statistical and algorithmic models by analyzing structured as well as semi-structured information related to descriptive, diagnostic & predictive techniques. Measured by the number of data science solutions delivered on time.
Measurements will be reviewed on a regular basis by the manager supplemented by input from the data scientist, and feedback from the analytics team, and customers.
Provide actionable recommendations by processing and cleaning the data through insightful visualizations & reports as well as deployment, and integration of predictive models into non-EMR development and production environments. Measured by actual lift in KPI discussed with business.
Adhere to standard operating procedures & coding standards set by Data Solution Center code check-in, documentation/extended properties. Measured by compliance to SOP (Standard Operating Procedures), design, development, testing, deployment standards.
Actively contributes and participates in discussions during team meetings, design & planning sessions, huddles, and roundings. Communications with customers, team members are required to be professional, timely, inclusive, considerate, and respectful. Measured by participation rate, customer service surveys. Participates in business requirements discussion with a diverse community of users including clinicians, clinical researchers, and administrators to assist with data science initiatives. Measured by participation rate, customer service surveys.
Obtains & maintains training & certifications listed in the job description and/or set by the Analytics Center of Excellence for a Data Scientist. Measured by certifications, contribution to the Analytics Center of Excellence, and completed bright idea submissions.
Other Job-Related Information:
Working Conditions:
TriHealth SERVE Standards and ALWAYS Behaviors
At TriHealth, we believe there is no responsibility more important than to SERVE our patients, our communities, and our fellow team members. To achieve our vision and mission, ALL TriHealth team members are expected to demonstrate and live the following:
Serve: ALWAYS
• Welcome everyone by making eye contact, greeting with a smile, and saying "hello"
• Acknowledge when patients/guests are lost and escort them to their destination or find someone who can assist
• Refrain from using cell phones for personal reasons in public spaces or patient care areas
Excel: ALWAYS
• Recognize and take personal responsibility to address and recover from service breakdowns when a customer's expectations have not been met
• Offer patients and guests priority when waiting (lines, elevators)
• Work on improving quality, safety, and service
Respect: ALWAYS
• Respect cultural and spiritual differences and honor individual preferences.
• Respect everyone's opinion and contribution, regardless of title/role.
• Speak positively about my team members and other departments in front of patients and guests.
Value: ALWAYS
• Value the time of others by striving to be on time, prepared and actively participating.
• Pick up trash, ensuring the physical environment is clean and safe.
• Be a good steward of our resources, using supplies and equipment efficiently and effectively, and will look for ways to avoid waste.
Engage: ALWAYS
• Acknowledge wins and frequently thank team members and others for contributions.
• Show courtesy and compassion with customers, team members and the community
