Senior Data Scientist | Fort Worth, TX
Fort Worth, TX 
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Posted 9 days ago
Job Description
Description

TTI, Inc. is looking for a Senior Data Scientist at our Corporate office in Northwest Fort Worth, TX.

The Senior Data Scientist will have end-to-end ownership of achieving business objectives through design, development, and implementation of valuable business valuable business solutions for the organization by collaborating with leadership and stakeholders, preparing, and cleaning data, designing and coding decision support systems, and measuring performance of the recommended decisions. These applications will identify business trends and opportunities using advanced decision science. The candidate will interpret data from multiple sources using a variety of statistical and complex data mining techniques to provide guidance to the business and to contribute to the value TTI delivers to its customers.

ACCOUNTABILITIES

  • Lead the design and development of the decision support systems from the ground up that will improve business effectiveness and performance and be accountable for the business outcomes from such capabilities.
  • Analyze and interpret results from multiple sources using a variety of techniques, ranging from simple data clustering to more advanced classification problem using supervised learning techniques with cross validation.
  • Prepare big data, implements data models and develops database to support the business solutions.
  • Coordinate and communicate effectively across diverse functional teams (business leaders and technical teams) the applied logic as well as the data and the information used. Aid business leaders and stakeholders with understanding how to effectively integrate data science capabilities into their existing organizational processes.
  • Assist with the preparation of high-level and detail-level project plans and ensure that each project objective is being completed within the agreed upon deadlines. Proactively follow up with partners and stakeholders within and outside the data science and analytics team. Escalate risks to projects in a timely manner if these cannot be resolved via communication with respective stakeholders.

EDUCATION & EXPERIENCE

  • Master's Degree in operations research, applied statistics, computer science, or related field of study required. Must have 4+ years of total experience in a data science and big data environment.

SKILLS & CERTIFICATIONS

  • Hands-on technical and functional experience in building predictive modeling, decision support systems and data mining analysis in a big data environment.
  • Strong expertise in software engineering:
    • Deep knowledge of Python programming, Python libraries such as Pandas, NumPy, Scipy, Gurobi, CPLEX, PyTorch, Tensorflow, CVXOPT, etc.
    • Solid experience with SQL and writing procedures
    • Knowledge of Python programming and prototyping
  • Knowledge of Operations Research and decision sciences with the following:
  • Forecasting (Consumer Choice Modeling (Logit regression), time series, ANOVA, etc.)
    • Segmentation models (CART, random forest, decision tree, etc.)
    • Machine learning and deep learning (reinforcement learning)
    • Pricing analytics and revenue management (dynamic pricing, revenue optimization, price testing, etc.)
    • Convex optimization (Gurobi, CPLEX, CVXOPT)
  • Experience in problem-solving and delivering workable solutions
  • Team player who enjoys working in a collaborative, agile environment
  • Good communication skills with the ability to explain the significance of data in a way that can be easily understood by others
  • Strong attention to detail, proficient organizational skills
  • Very high initiative and drive for organizational success

Please note that we do not offer relocation assistance for this position. Candidates must be local or willing to relocate at their own expense.

This is a summary of the accountabilities and requirements for this position. The company reserves the right to modify or amend accountabilities and requirements at any time at its sole discretion based on business needs. Any part of this job description is subject to possible modification to reasonably accommodate individuals with disabilities.

What we offer our team members:

  • A great benefits package that includes (but is not limited to) Medical/ Dental/ Vision, 401(k)/Roth plan with matching, and Healthcare Savings Accounts.
  • Educational Assistance (Tuition Reimbursement).
  • Ongoing training throughout your employment with opportunities to participate in professional and personal development programs.
  • A strong focus on giving back to our communities through philanthropic opportunities.

Want to learn more? Visit us at

TTI, Inc. is an Equal Opportunity Employer committed to providing equal opportunities to all employees and applicants for employment without regard to race, color, sex (including pregnancy), sexual orientation, gender identity, age, national origin, religion, physical or mental disability, veterans' status, genetic information, or any other characteristic protected by law.



Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

TTI is an Equal Opportunity Employer – Minorities/Females/Protected Veterans/Disabled

 

Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Master's Degree
Required Experience
4+ years
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