Sr Data Scientist

Job Description

IT is different here. Our work as technology specialists pushes the boundaries of what's possible in health care. You will build solutions that make a real difference in people's lives.

Driven by the importance of their work, our team members innovate to elevate. We're encouraged to be curious, collaborate, and turn ideas into solutions that can make health care better for all.

In this role you will identify, implement, and deliver accurate and quality analyses that translate data in sound organizational decisions.

You will be critical in building out our NLP capabilities.

If you are ready to make a career out of making a difference, then you are the person for this team.

What You Will Do

Own delivery of large and / or complex data science and engineering projects

Lead in the development and testing of hypotheses across all functional data sets

Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests

Define and implement integrated data models, allowing integration of data from multiple sources

Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation

Define and implement data stores based on system requirements and consumer requirements

Design and develop models to understand and solve complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis

Design and implement production models leveraging technologies such as Python, and R

Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues

Apply advanced conceptual understanding of Big Data systems to data set engineering and analytic model implementation

Lead reviews of analytic models and algorithms

Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups

Document and test analytic processes including performance and thorough data validation and verification

What You Bring

Master's Degree in Data Science, Applied Mathematics, Computer science, Statistics, Biostatistics, Epidemiology, Health Services Research, or a field closely related to Data Science specialization, or equivalent combination of transferrable experience and education

5 years of the following with increasing scope of project responsibilities :

SQL programming (Advance SQL programming)

Demonstrated experience with design and implementation of analytic models and methodologies for new applications

Proficiency in Python

Advanced experience working with large and complex data sets to develop regression and classification models.

Deep knowledge of state-of-the art techniques in machine learning, statistics, optimization or related fields Demonstrated experience in successfully delivering data science projects.

Great to Have

Experience with Python analytics packages such as scikit-learn, NumPy, Pandas etc.

Experience leveraging NLP

Experience preparing data for analysis

Exposure to clinical, healthcare, or insurance data

Experience with Hadoop, Hive, and / or other Big Data technologies

Experience working in AWS and / or using Linux based systems

Expert at the execution of implementing models and methodologies on big data

Demonstrated experience performing data validation on prepared data sets

Familiarity with deep-learning modeling techniques and their application

Experience in software engineering practices and software development methodologies

Ability to communicate clearly and effectively both orally and in writing

Ability to work independently

Reliable task estimation skills

Excellent quantitative, problem solving and analytic skills

Ability to document data discovery findings, feature selection process, model determination process, and interpretation of insights

Ability to collaborate effectively with business stakeholders, performance consultants, data scientists, and other data engineers

Proficient in use of MS Office applications, including expert level Excel programming

Ability to quickly become expert in operational processes and data of lines of business

Ability to troubleshoot and document findings and recommendations

Comfortable briefing internal stakeholders on findings

Proactively communicate risks and problems to leadership

Ability to keep up with a rapidly evolving technology space

Salary Range

$100,500.00 - $182,700.00