***This role is 100% remote, however, the candidate will be asked to come into the office 10-12 days out of the year

***This is a 12-month contract

PURPOSE:

Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Acting as a liaison and interface between analytics, business units and other departments.

ESSENTIAL FUNCTIONS:

· 20% Leads data mining and extraction activities and applies algorithms to derive insights.

· 20% Uses data to understand the data profile and its limitations and applies it to business solutions.

· 15% Collaborates with business units to innovate organizational performance.

· 15% Explores data patterns using existing data science tools.

· 10% Translates business priorities to data science deliverables.

· 10% Implements new data products and builds robust and scalable software.

· 10% Leads/Guides DS on implementing best practices for projects and applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.

QUALIFICATIONS:

· 5+ years of experience working as a Data Scientist in AI/ML

· Experience performing end-to-end deployments and migrations in ML

· Experience working with Python and AWS SageMaker

· Experience working with Bigdata technologies

EDUCATION:

· Education Level: Bachelor's Degree

· Education Details: Statistics, Mathematics, Computer Science, or related field

· In Lieu of Education

· In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

PREFERRED QUALIFICATIONS:

· Knowledge, Skills, and Abilities (KSAs)

· Ability to work independently without detailed guidance., Advanced

· Ability to communicate effectively and document objectives and procedures., Advanced

· Ability to leverage a variety of data science tools and frameworks., Advanced

· Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques., Advanced

· Knowledge of software engineering principles and practices., Advanced

· Proficiency in statistical modeling applications., Advanced

· Proficiency in advanced SQL in multiple syntaxes., Advanced

The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes them ineligible to perform work directly or indirectly on Federal health care programs. Must be able to effectively work in a fast-paced environment with frequently changing priorities, deadlines, and workloads that can be variable for long periods of time. Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.

***Please only send candidates that have industry experience and not research experience (Must come from a AI/ML background) and have AWS knowledge ***Please only send candidates with 1+ years of experience working with AWS SageMaker, Python, and big data technologies (Doesn't matter which ones) ***Please only send candidates that have experience performing end-to-end deployments and migrations in ML
Background Check :Yes