Quick Overview
Job Description
Why AIS? When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.
- Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.
- Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
- Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.
- Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities. What are we looking for? At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles. Working@AIS
Key Responsibilities
- The Data Scientist will help develop and deploy AI models from ideation to production. Required For This Opportunity
- Bachelor's Degree in Computer Science
- At least 5+ years of experience in Data Science.
- Must have hands-on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas, etc.)
- Must have experience with database systems.
- Must have a Secret clearance
- Must have experience deploying Machine Learning (ML) models. Nice to Have Skills
- A certification in Data Science, AI, or another related certification is preferred, but not required.
At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $116,000-$174,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.
We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process. Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.
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