Data Scientist
2 weeks ago
Key Responsibilities
- Develop and fine-tune machine learning models for predictive maintenance and resource optimization, tailored to the needs of federal government clients in transportation, logistics, and energy
- Work directly with government clients to understand their specific needs and challenges, translating these into technical requirements for model development
- Manage, analyze, and interpret large datasets to identify trends and insights relevant to the objectives
- Work closely with a development team to integrate machine learning models into broader solutions, ensuring alignment with client needs and industry best practices
- Communicate complex data insights and model results to both technical and non-technical stakeholders in a clear and effective manner
- Stay abreast of the latest developments in machine learning, predictive maintenance, and resource optimization to continually enhance the solutions offered
- Ensure all data handling and model development comply with federal regulations and security protocols
- Bachelor's degree in Data Science, Computer Science, Engineering, or a related field
- 7+ years of experience (5+ years with Master's) in data science
- 5+ years of experience (3+ years with Master's) in developing machine learning models, particularly for predictive maintenance and resource optimization to include:
- Familiarity with machine learning libraries and frameworks like PyTorch or TensorFlow
- Strong programming skills in Python, R, or similar languages
- Experience working with large datasets and knowledge of data processing, data cleansing, and data mining techniques
- Excellent problem-solving abilities and analytical skills
- Strong communication and interpersonal skills, with experience in consulting or client-facing roles
- Ability to obtain and retain Public Trust clearance
- Knowledge of federal government contracting and domain-specific knowledge in transportation, logistics, or smart energy
- Master's degree in Data Science, Computer Science, Engineering, or a related field
- Jupyter Notebook experience
- AWS Certified Data Engineer (Associate)
- AWS Certified Machine Learning (Specialty)
Benefits
Founded in 1995 at the start of the dot-com revolution, TechFlow helped large commercial clients such as Dreamworks, Toshiba, MGM, and others modernize their business systems. Today, with deep operational roots in the bi-coastal innovation hubs of California and Washington DC, TechFlow continues as a leader in applying innovative engineering, technology, integration solutions, and support services to the Federal Government's most demanding mission and business challenges.
Our culture thrives on out-of-the-box thinking and the unique powerful entrepreneurial expressions of our employee-owners. As a 100% employee-owned company, we have a shared expectation of commitment, accountability, and responsibility driven by a culture that embraces innovation and new ideas. Our goal is not to do what has been done, but to do it better.
TechFlow has four principal lines of business: Platform Services, Digital Services, Base Operations, and Energy and Mobility Solutions. Our company has a strong track record of successful contracts in both areas and encourages cross-collaboration.
TechFlow, Inc. is 100% employee-owned. Come make a difference in a job that contributes to your future and helps us build an agile workplace
- Employee stock ownership plan (ESOP) - Pride in being an employee-owner and annual employer contribution (per plan guidelines)
- 401k plan with Roth option
- Eligibility for an employer match
- Immediate vesting
- Paid time off
- Holidays - 11 paid holidays per year
- Comprehensive medical, dental, and vision plans
- Company-paid Life & AD&D insurance plan
- Employee Assistance Program
- Wellness Resources
- Company-paid training and development program
- Voluntary benefits include:
- Life & AD&D Insurance for employee, spouse, and children
- Short-term and long-term disability (per plan guidelines)
- Legal Shield and Identity Theft protection plans
- Pet Insurance
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