Job description

As a Senior Data Scientist, you'll be at the center of solving complex business challenges through advanced analytics, machine learning, and AI. On any given day, you might be collaborating with business leaders to understand a strategic problem, building and tuning predictive or NLP models, designing data pipelines to support scalable solutions, or translating analytical findings into clear recommendations for clients and stakeholders. You'll work with large, complex datasets, connect data from multiple sources, and develop production-ready models that drive measurable business outcomes. Whether you're exploring new approaches to optimization, automating processes, or identifying insights that improve operational performance, you'll play a key role in turning data into action. Beyond the technical work, you'll serve as a trusted advisor and leader across the organization. You'll partner closely with cross-functional teams—including engineering, business stakeholders, and clients—to shape data strategy, prioritize opportunities, and ensure solutions align with business goals. You'll present findings to both technical and non-technical audiences, influence decision-making through data-driven storytelling, and help elevate the team's capabilities by mentoring junior data scientists and promoting best practices. This is an opportunity for someone who enjoys balancing hands-on analytics with strategic leadership and wants to make a visible impact through innovative, scalable data science solutions. Minimum Qualifications: • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field with 8+ years of relevant experience, or a Master’s degree with 6+ years of relevant experience. • Proven experience developing and delivering data science solutions in a production environment. • Advanced proficiency in Python for machine learning, data analysis, and automation. • Expert-level SQL skills and experience working with relational databases. • Experience integrating data from multiple systems through APIs. • Strong foundation in statistics, probability, predictive modeling, and analytical methodologies. • Experience building, validating, and deploying machine learning models that drive business outcomes. • Strong communication skills with the ability to translate technical findings into actionable business insights. Preferred Qualifications: • Experience developing and deploying Natural Language Processing (NLP) solutions. • Experience with cloud-based data and analytics platforms (Azure preferred). • Familiarity with MLOps practices and maintaining production machine learning models. • Experience leading cross-functional initiatives and influencing business decisions through data. • Experience mentoring and developing other data scientists. What We Offer: • A supportive and inclusive work environment that values diversity and encourages innovation. • Opportunities for professional growth and career development. • Competitive salary and comprehensive benefits package, including generous paid time off, 401(k) with company match, tuition reimbursement, and flexible work schedules. • This position pays between $108,200 to $141,400 annually and is an exempt position. Benefits offered include company-sponsored medical, dental, vision, and 401(k) plan with company match. Also offered are tuition reimbursement, voluntary life, disability, critical illness, accident and hospitalization plans. HSA or FSA medical accounts and FSA dependent care and transportation/parking accounts are also available. These benefits are subject to employee contribution amounts generally set annually. Full-time employees are eligible to earn PTO hours. May be eligible for discretionary bonus as determined by the company. Why Join Us? At ENTRUST Solutions Group, a Leidos company, we are driven by a commitment to innovation, technical excellence, and delivering the critical infrastructure that powers and connects communities. Together with Leidos, we are building a scaled, end-to-end energy and infrastructure organization focused on modernizing the grid, improving reliability, and helping utilities and network providers meet rising demand. As an ENR top ranked firm, our team of more than 5,000 professionals brings deep technical expertise and advanced technology across electric, gas, and telecommunications infrastructure. We solve complex challenges for clients across North America and expanding markets, helping them strengthen reliability, expand capacity, and adapt to evolving infrastructure needs. We foster a culture where innovation, collaboration, and continuous improvement are expected, and where people are empowered to challenge convention, think boldly, and make an impact. Whether you are looking to grow your expertise, lead transformative projects, or help shape the future of infrastructure, you will find opportunities to thrive here. If you are ready to outthink the status quo, tackle meaningful challenges, and build what is next, we would love to hear from you. Explore More Opportunities: Not quite the right fit? Check out all our openings at ENTRUST Solutions Group Careers . To learn more about ENTRUST Benefits and Culture, please visit our company LinkedIn page and follow us at: linkedin.com ENTRUST Solutions Group is proud to be an Equal Employment Opportunity employer. We celebrate diversity and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. ENTRUST does not accept unsolicited headhunter or agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with ENTRUST Solutions Group. #LI-Remote #LI-NF1

Requirements

Must-haves

Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field with 8+ years of relevant experience, or a Master’s degree with 6+ years of relevant experience.
Proven experience developing and delivering data science solutions in a production environment.
Advanced proficiency in Python for machine learning, data analysis, and automation.
Expert-level SQL skills and experience working with relational databases.
Experience integrating data from multiple systems through APIs.
Strong foundation in statistics, probability, predictive modeling, and analytical methodologies.
Experience building, validating, and deploying machine learning models that drive business outcomes.
Strong communication skills with the ability to translate technical findings into actionable business insights.

Nice-to-haves

Experience developing and deploying Natural Language Processing (NLP) solutions.
Experience with cloud-based data and analytics platforms (Azure preferred).
Familiarity with MLOps practices and maintaining production machine learning models.
Experience leading cross-functional initiatives and influencing business decisions through data.
Experience mentoring and developing other data scientists.

Application prep

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Keywords to mirror

machine learningaipythonsqlazure

Platform: ukg
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off