Lead Data Scientist

Position: Lead Data Scientist

Location: 100% Remote

Job Type: 12 months Contract - Possible extension

Hiring Manager Notes:

• Can be anywhere in the US but will need to be able to go to office for brainstorming sessions, sprint planning, etc.. (10-12 times per year).


• Key Data Science/ML tool requirement for this role is Amazon SageMaker (must-have). Need this person to support the cloud migration to AWS (needs to have some exp/knowledge of AWS and understand the infrastructure of AWS, if they have never done a migration then that is not deal breaker as they can learn from others on the team). Need to be able to conduct the end to end ML development cycle.


• Need strong data science BG with ML/AI. Not looking for folks in the research arena but industry exp instead


• Needs to have strong AWS exp. Once they are done with migration will start with new ML development models in the coming years.


• In Big Data environment now and will be migrating from Big Data environment to AWS.


• Needs to be expert with SQL. They use Cloudera and HiveQL a lot. Python/PySpark is approved language for programming in Data Science group so strong python BG is required.


• Knowledge with doing the deployments is required as well.

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 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.

Key Requirement:

Experience building data pipeline for ML and AI models,

Experience optimizing ML/AI Model Code and deployments

Experience with Cloud Platforms, specifically AWS ecosystem, Data Engineering & Data Science Tools

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

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.

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.