Data Scientist

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Data Scientist

San Antonio, TX 78208
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)

Are you passionate about uncovering insights from complex data and driving data-informed decision‑making? We are seeking a talented Data Scientist to join our team and play a pivotal role in analyzing, modeling, and transforming data into actionable solutions. In this position, you will collaborate with cross‑functional teams, leverage advanced analytics techniques, and apply innovative tools to solve challenging problems. If you excel at blending technical expertise with creative thinking to deliver impactful results, we’d love to have you on our team!

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positions. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals.

We look forward to you joining our family. ***

Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist, Quantitative Analyst, Big Data Specialist, etc.

Bachelor’s Degree

Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information Technology, etc.

General comment on degrees:
Most contracts allow additional experience (4-5 years) in lieu of a Bachelor’s Degree. Some contracts give 4-5 years experience credit for a Bachelor’s Degree. Some contracts give 2 years experience credit for a Master’s Degree. We will work with you to find the right fit.

• Analyze and interpret complex data
• Develop predictive models
• Communicate data findings clearly
• Design and implement algorithms
• Ensure data quality and integrity
• Collaborate with cross‑functional teams

• Proficiency in data manipulation tools (e.g., Python, R)
• Experience with machine learning techniques
• Strong statistical analysis skills
• Knowledge of data visualization tools (e.g., Tableau, Power BI)
• Familiarity with big data technologies (e.g., Hadoop, Spark)
• Experience with data cleaning and preprocessing

• Experience with cloud platforms (e.g., AWS, GCP)
• Knowledge of deep learning techniques
• Expertise in natural language processing (NLP)
• Understanding of database management systems
• Experience in deploying models to production
• Strong problem‑solving and critical thinking abilities

• Excellent Salaries
• Flexible Work Schedule
• Cafeteria Style Benefits
• 10% - 401k Matching (Vested Immediately)
• Additional 401k Profit Sharing
• 30 days Paid Leave/Holiday (No Use or Lose!)
• The day off for your birthday
• Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
• HSA/FSA
• AFLAC
• Long Term/Short Term Disability - 100% employee coverage. No cost to you.
• Life Insurance - 100% employee coverage. No cost to you.
• Additional Discretionary Life Insurance
• Paid Training
• No long, wordy reviews with tons of paperwork!!!
• Referral bonus program with recurring annual payments

Email us at  or apply today:

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws.

We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.