Lead Data Scientist - GSSR Inc

Need Recent experience with Healthcare clients.

PURPOSE:

• Leads proliferation of machine learning and artificial intelligence throughout the enterprise.
• 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. Leads interactions between analytics, business units and other departments.

ESSENTIAL FUNCTIONS:

20% Leads all data mining and extraction activitiesand applies algorithms to derive insights.

15% Synthesizes analytical findings for consumption bythe teams and senior executives.

15% Leads proliferation of machine learning andartificial intelligence solutions.

15% Applies artificial intelligence techniques toachieve concrete business goals while managing limited resources andconstraints around data.

15% Mentors and develops junior data scientists foradvanced data analysis.

10% Translates business priorities and creates datascience deliverables.

10% Leads implementation of ML/AI/DS best practicesfor new data products and builds robust and scalable software.

Qualifications

To perform this job successfully, an individual mustbe able to perform each essential duty satisfactorily. The requirements listedbelow are representative of the knowledge, skill, and/or ability required.Reasonable

accommodations may be made to enable individuals withdisabilities to perform the essential functions.

Education Level: Bachelor\'sDegree

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

Experience: 8 years ofrelevant work experience.

In Lieu of Education

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

Preferred Qualifications

Knowledge, Skills and Abilities (KSAs)

• Ability to communicate effectively and document objectives and procedures., Expert
• Ability to leverage a wide variety of data science tools and frameworks., Expert
• Ability to support data exploration and data analysis tasks in support of analytics objectives., Expert
• Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques., Expert
• Proficiency in statistical modeling applications., Expert
• Proficiency in advanced SQL in multiple syntaxes., Expert
• Proficiency in AWS Ecosystem and tools
• Experience working as an AI/ML Engineer