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Job Description: 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 activities and applies algorithms to derive insights.
15% Synthesizes analytical findings for consumption by the teams and senior executives.
15% Leads proliferation of machine learning and artificial intelligence solutions.
15% Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.
15% Mentors and develops junior data scientists for advanced data analysis.
10% Translates business priorities and creates data science deliverables.
10% Leads implementation of Client/AI/DS best practices for new data products and builds robust and scalable software.
Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education Level: Bachelor's Degree
Education Details: Statistics, Mathematics, Computer Science or related field
Experience: 8 years of relevant work experience.
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 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/Client Engineer
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.
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
ESSENTIAL FUNCTIONS: 20% Leads all data mining and extraction activities and applies algorithms to derive insights.
15% Synthesizes analytical findings for consumption by the teams and senior executives.
15% Leads proliferation of machine learning and artificial intelligence solutions.
15% Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.
15% Mentors and develops junior data scientists for advanced data analysis.
10% Translates business priorities and creates data science deliverables.
10% Leads implementation of Client/AI/DS best practices for new data products and builds robust and scalable software.
Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education Level: Bachelor's Degree
Education Details: Statistics, Mathematics, Computer Science or related field
Experience: 8 years of relevant work experience.
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 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/Client Engineer
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.
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."