Mid Level Data Science Team Lead Jobs
Mid level data science team lead jobs go to professionals ready to own analytical pipelines end to end, guide junior team members, and shape modeling decisions with limited day-to-day oversight. Openings run across on-site, remote, and hybrid settings in Consulting & Professional Services, Biotechnology & Pharmaceuticals, and Education, with employers like Analytic Partners, Biogen, and IQVIA hiring at this level now.
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JOB PURPOSE:
Instructs and facilitates a meaningful and effective learning experience of the course competencies in the classroom and laboratory settings. Position is subject to all terms and provisions of the NTU faculty contract.
This position description indicates in general the nature and levels of work, knowledge, skills, and abilities. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required or assigned to this position. This position requires teaching experience.
JOB DUTIESRESPONSIBILITIES:
- Assists in developing a Bachelor of Science in Computer Science
- Selects and prepares course outlines as well as instructional materials. Selects and orders course books and materials.
- Develops and maintains a classroom environment encouraging effective learning and student success.
- Preparing lesson plans which incorporate varied instructional techniques, multi-media, integration strategies designed to meet the educational, multi-social and emotional needs of the students.
- Instructs students in field of study.
- Takes, maintains, and submits attendance reports.
- Provides assistance to students regarding up to date information on degrees or certificates in their educational program.
- Maintains accurate files on each advisee, refers students when appropriate to sources of specialized services within the university.
- Sets up, plans, and supervises work of students, individually or in small groups.
- Designs tests and evaluates achievement of students.
- Takes all necessary and reasonable safety precautions to protect students, materials, equipment and facilities.
- Provides assessments regarding performance measures.
- Maintains a current and accurate inventory of all equipment, tools, and supplies.
- Evaluates student progress on a regular basis, including progress reports and grades.
- Provides feedback on work and assignments to students.
- Participates and provides opportunities for students in community service initiatives or projects.
- Provides accurate and timely reports as requested.
- Assists in program reviews and accreditation guidelines regarding student academic achievement and their success on outcomes.
- Participates in and develops efforts to recruit and retain students.
- Conducts research in field of study.
- Identifies grant opportunities. Prepares and submits proposals.
- May be advisor to student clubs.
- Holds regular office hours to assist students.
- Seeks and assists students in obtaining internships.
- Collaborates with colleagues to share experience and knowledge.
- Attends and participates in faculty meetings, career and technical education meetings, and other meetings and committees as required.
- Maintains confidentiality of all privileged information.
- Performs other duties as assigned.
SUPERVISION RESPONSIBILITIES:
- Supervises students during laboratory work.
MINIMUM QUALIFICATIONS/REQUIREMENTS:
- M.S. or equivalent, in Computer Science (or a related field).
- Three years of teaching experience in field of study.
- Maintains educational competencies in area of instruction.
- Professional excellence, community service and/or publication.
- Valid and clean state driver's license.
- Must be able to pass background check, with NO prior convictions of any felonies and no history of child abuse and/or neglect.
PREFERRED QUALIFICATIONS/REQUIREMENTS:
- Ph.D. in Computer Science or a related field.
- Five years of teaching experience in field of study.
- Maintains educational competencies in area of instruction.
- Professional excellence, community service and/or publication.
The Navajo Nation Preference in Employment Act applies to all hiring, promotions or transfers of individuals into this position.
KNOWLEDGE, SKILL AND ABILITY REQUIREMENTS:
- Knowledge of applicable federal, state, county and local laws, regulations, and requirements.
- Knowledge of field of study.
- Knowledge of instructional policies and procedures.
- Ability to write reports and business correspondence.
- Ability to organize and express ideas, directions, and data in a logical sequence to describe a process or explain procedures such as how to perform a task to students.
- Ability to present materials effectively to individual students or groups.
- Ability to manage interpersonal conflict situations requiring tact, diplomacy and discretion.
- Ability to work independently and meet strict timelines.
- Ability to oversee the work of students.
PHYSICAL DEMANDS:
- While performing the duties of this job, the employee frequently sits, stand, walk, bend, stoop, and squat.
- Use hands for dexterity of motion, repetitive movement of both hands.
- Have excellent auditory, visual acuity, and verbal communications skills.
- The employee must occasionally lift and carry up to 25 pounds.
WORK ENVIRONMENT
- Work is typically performed within an office, classroom, or laboratory.
- Situations occur where surgical masks, safety goggles, gloves and protective face shields may occur.
- Tight time constraints and multiple demands are common.
- Evening and/or weekend work may be required. Extended hours and irregular shifts may be required.
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Find JobsMid Level Data Science Team Lead Job Market
Who's Hiring
- Analytic Partners12

- Biogen9

- IQVIA8

- Amazon6

- Capital One6

Top Industries Hiring
- Consulting & Professional Services26
- Biotechnology & Pharmaceuticals20
- Education18
- Technology & Software16
- Healthcare & Medical Services15
Mid Level Data Science Team Lead Jobs: Frequently Asked Questions
How do I get a mid level data science team lead job?
Position your existing experience around ownership and impact, not just task completion. Highlight projects you drove from problem definition through deployment, any mentoring you provided, and decisions you made without close supervision. Tailor your resume to show cross-functional collaboration and measurable outcomes. Applying to roles that explicitly ask for independent contributors with some leadership exposure puts you in the strongest position.
Which companies hire mid level data science team leads?
Companies hiring mid level data science team leads right now include Analytic Partners, Biogen, and IQVIA, based on current listings on Migrate Mate as of November 2026. The mix typically includes technology firms, financial services companies, and data-intensive enterprises that have mature analytics teams and need experienced contributors who can mentor others while staying hands-on with modeling work.
Are there remote mid level data science team lead jobs?
Yes, remote and hybrid options are well represented at this level. About 29% of mid level data science team lead openings are remote or hybrid as of November 2026, reflecting how broadly companies have accepted distributed data science work. Fully on-site roles still exist, particularly in regulated industries or organizations where model deployment ties closely to internal infrastructure.
How do I move up to a mid level data science team lead role?
Moving from early-career into mid level requires building a consistent record of project ownership, not just task execution. Seek out assignments where you define the analytical approach, deliver end-to-end, and present findings to stakeholders. Developing depth in a specialization, such as machine learning, experimentation, or applied statistics, and informally coaching newer teammates both signal readiness for the mid level designation.
Which industries hire the most mid level data science team leads?
Mid Level data science team lead roles concentrate in Consulting & Professional Services, Biotechnology & Pharmaceuticals, and Education, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in predictive modeling and data-driven decision making, which creates sustained demand for experienced data science contributors who can both produce rigorous work and help build team capability around them.