Data Intelligence - Data Scientist Ld

Ampcus Inc; Columbia (MD); On-site; USD 140,000 - 170,000; Full time

Job summary

Ampcus Inc. is seeking a Data Intelligence - Data Scientist Lead in Columbia, MD to drive machine learning and AI initiatives across the enterprise. You will identify business problems, apply statistical models, and communicate results to product teams and leadership.

The role requires 8 years of related experience, familiarity with provider data, and knowledge of Salesforce and Facets. Remote collaboration with teams is preferred, and a Bachelor's degree (or equivalent experience) is required.

Qualifications

• Bachelor's Degree in Statistics, Mathematics, Computer Science or related field.
• 8 years of relevant work experience.
• In lieu of a Bachelor's degree, an additional 4 years of relevant work experience.

Responsibilities

• Lead data mining and extraction activities and apply algorithms to derive insights.
• Synthesize analytical findings for consumption by teams and senior executives.
• Lead proliferation of machine learning and artificial intelligence solutions.
• Apply artificial intelligence techniques to achieve concrete business goals while managing data constraints.
• Mentor and develop junior data scientists for advanced data analysis.
• Translate business priorities into data science deliverables.
• Lead implementation of ML/AI/DS best practices for new data products and builds robust software.

Skills

Effective communication

Data science tools

Data exploration & analysis

Model evaluation & scalability

Statistical modeling

Advanced SQL

Education

Bachelor's degree in Statistics/ Mathematics/ Computer Science

Tools

Salesforce

Facets

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Data Intelligence - Data Scientist Ld

Job Location: Columbia, MD

Job Description

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.

Must have previous Provider data experience working with leadership on provider data issues, accuracy, and provider data interactions with claims and claims platforms. Knowledge of Salesforce and Facets is required.

Previous demonstrable experience with reporting to leadership and working remotely with teams is preferred.

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 ML/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

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.