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