Lead Data Scientist (Remote)

Lensa; Great Falls Crossing (VA); Remote; USD 113,000 - 225,000; Full time

Job summary

A leading company is seeking a Lead Data Scientist to drive machine learning initiatives and mentor junior staff. This role involves solving complex business problems using advanced analytical techniques and collaborating with various teams to implement AI solutions. The ideal candidate will have extensive experience in data science and a strong educational background in relevant fields.

Benefits

Comprehensive benefits package

401k contribution programs

Qualifications

• 8 years of relevant work experience required.
• Ability to communicate effectively and document objectives.
• Proficiency in statistical modeling applications.

Responsibilities

• Leads all data mining and extraction activities.
• Mentors and develops junior data scientists.
• Applies AI techniques to achieve business goals.

Skills

Data mining

Machine learning

Statistical modeling

Data analysis

SQL

Education

Bachelor's Degree in Statistics, Mathematics, Computer Science or related field

Job description

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Purpose

Resp & Qualifications

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

• Leads all data mining and extraction activities and applies algorithms to derive insights.
• Synthesizes analytical findings for consumption by the teams and senior executives.
• Leads proliferation of machine learning and artificial intelligence solutions.
• Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.
• Mentors and develops junior data scientists for advanced data analysis.
• Translates business priorities and creates data science deliverables.
• Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software.
  
  

Supervisory Responsibility

Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.

Qualifications

Education Level: Bachelor's Degree in Statistics, Mathematics, Computer Science or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Experience: 8 years of relevant work experience.

Knowledge, Skills And Abilities (KSAs)

• Ability to communicate effectively and document objectives and procedures.
• Ability to leverage a wide variety of data science tools and frameworks.
• Ability to support data exploration and data analysis tasks in support of analytics objectives.
• Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques.
• Proficiency in statistical modeling applications.
• Proficiency in advanced SQL in multiple syntaxes.
• 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.
  
  

Salary Range: $113,184 - $224,796

Salary Range Disclaimer

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilites of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements).

Department

Data Scientist

Equal Employment Opportunity

CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Where To Apply

Please visit our website to apply: www.carefirst.com/careers

Federal Disc/Physical Demand

Note: The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.

Physical Demands

The associate is primarily seated while performing the duties of the position. Occasional walking or standing is required. The hands are regularly used to write, type, key and handle or feel small controls and objects. The associate must frequently talk and hear. Weights up to 25 pounds are occasionally lifted.

Sponsorship in US

Must be eligible to work in the U.S. without Sponsorship

REQNUMBER: 20873

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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