Data Scientist - Remote Opportunity

Apply for this position Please mention DailyRemote when applying
timePosted 5 days ago location United States salarySalary undisclosed
Before you apply - make sure the job is legit.

Attempting to apply for jobs might take you off this site to a different website not owned by us. Any consequence as a result for attempting to apply for jobs is strictly at your own risk and we assume no liability.

Job Description

Essential Functions
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Collaborate with data architect professionals and program teams to assure the delivery of content-rich and scalable data warehouse offerings.
Prepare and verify the integrity of summary datasets that drive data intelligence, operational and clinical metrics, and product-based requirements.
Develop custom metrics calculations, data models and algorithms to apply to data sets.
Through industry best practices, create performant, accurate, and scalable solutions.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Use predictive modeling to increase and optimize customer clinical and administration experiences, revenue generation, and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different product development teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Follow Sunquest and FDA standard processes in documentation and compliance.
Act as a champion for data literacy and value in the organization. Skills needed to be successful
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Strong problem-solving skills with an emphasis on product development.
Experience using Relational Database and/or Non-SQL databases, Graph, Document databases.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate structured data and draw insights from large data sets.
Experience in data conversion on the unstructured data streams like Optical Character Recognitions (OCR) and/or Natural Language Processing (NLP).
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. OR Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Tableau, PowerBI, Periscope, Business Objects, D3, ggplot, etc. Required Experience & Education
Bachelors degree in Statistics, Mathematics, Computer Science or another quantitative field.
5-7 years experience manipulating data sets and building statistical models.
5 years experience working the following software/tools:
Coding with several languages: C, C++, C#, Java, Java Script Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis
Distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL Preferred Experience & Education
Masters degree or PhD in Statistics, Mathematics, Computer Science or other quantitative field
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests (and proper usage), and experience with applications
Familiarity with the healthcare industry and its structured data landscape i.e. SNOMED, LOINC, CPT, ICD-9, ICD-10, codification systems
Experience using web services: Redshift, S3, Spark, DigialOcean.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Cloud base OCR, NLP, Machine Learning, AI services is desirable Supervisory Responsibilities
None Perks of working for Sunquest
From our business casual dress policy, generous PTO plan and flexible work schedules, to our mission driven organization that supports those who support healthcare organizations, Sunquest promotes work-life balance for all of our employees. We place emphasis on training and development, encourage promotion from within and encourage cross-functional team participation. These ideals together foster a culture of professional growth and development for our employee.
Physical Requirements
Work is performed in a normal office setting with minimal exposure to health or safety hazards. Prolonged periods of sitting at a desk and working on a computer.
Up to 20% travel may be required.
Moderate lifting/carrying 15-44 lbs.; use of fingers; walking/standing 2-6 hours.
Exposure to hazardous materials or various weather conditions
Travel to client sites that can pose risk associated with healthcare organization.
May be required to follow customer location health and safety requirements.
Sunquests Commitment to Equal Opportunity
Sunquest Information systems is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
General Guidance:
This job description is meant to provide an accurate depiction of tasks and accountabilities that are most often associated with this role. While we strive to provide an accurate depiction, nothing in this description restricts the company from changing, reassigning, expanding or reducing scope of accountabilities and is subject to change at any time.