Top Skills' Details1. MS or PhD in Data Science, Computer Science, Statistics, or related field 2. Strong Python expertise (production-grade coding, modularization, testing, performance tuning) 3. Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)Description3+ years of experience.Minimum Qualifications Education & Prior Job Experience Masters/PhD degree with 3+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.) Experience with Python programming language Practical experience with data extraction, cleaning, and analysis Depth of knowledge in statistical and machine learning techniquesPreferred qualifications Education & Prior Job Experience 8+ years of experience in a technical professional environment, in addition to the minimum requirements Experience with SQL and data visualization (Tableau, PowerBI) Practical experience designing, building and deploying machine learning models Experience in using cloud platforms and parallel processing to scale model development/ deployment (Databricks, Azure) Domain knowledge in the airline industry Experience working in a consulting roleSkillsPython, Data science, Machine learning, DataTop Skills DetailsPython,Data science,Machine learning,DataAdditional Skills & QualificationsSkills, Licenses & Certifications Ability to effectively communicate both verbally and written with all levels within the organization Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving Ability to view data from different angles to employ feature engineering techniques to better represent models Ability to work on a diverse team with diverse skillsetsTop 3 Must Have Skills: 1.MS or PhD in Data Science, Computer Science, Statistics, or related field2.Strong Python expertise (production-grade coding, modularization, testing, performance tuning)3.Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)Experience LevelExpert Level Job Type & LocationThis is a Contract position based out of Dallas, TX. Pay and BenefitsThe pay range for this position is $60.00 - $75.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & LocationThis is a Contract position based out of Dallas, TX. Application DeadlineThis position is anticipated to close on Nov 13, 2026. Workplace TypeThis is a hybrid position in Dallas,TX.
About TEKsystems
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.