This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist Associate Manager based in United States.
This role offers the opportunity to lead impactful data science initiatives that shape how advanced analytics and AI are used to drive business decisions.
The position combines technical expertise, strategic thinking, and leadership to deliver scalable machine learning solutions.
You will guide data scientists, influence modeling strategies, and help transform complex data into measurable business outcomes.
Working across business and technology teams, you will design solutions that are innovative, reliable, and ready for enterprise-scale deployment.
The role provides an opportunity to contribute to modern AI capabilities, including cloud-based, predictive modeling, and emerging agentic systems.
The ideal candidate is a hands-on data science leader who enjoys mentoring teams and solving complex business challenges through technology.
Accountabilities:
The Data Scientist Associate Manager will lead the development and application of advanced analytics, machine learning models, and AI-driven solutions to support strategic business objectives. This role combines technical leadership, project execution, stakeholder collaboration, and team development.
- Review, evaluate, and communicate modeling approaches and results to technical teams, leadership, and business stakeholders.
- Develop communication strategies that explain the value and effectiveness of machine learning and predictive modeling initiatives.
- Partner with cross-functional teams to solve complex business challenges through data analysis, modeling, and implementation.
- Translate business requirements into effective modeling approaches and develop frameworks, prototypes, and analytical solutions.
- Lead the design, development, and improvement of machine learning and predictive models that enhance decision-making.
- Mentor and support junior data scientists by providing technical guidance, coaching, and professional development.
- Identify opportunities to improve data sources, modeling techniques, analytical processes, and team capabilities.
- Evaluate and introduce new technologies, programming languages, and tools that improve efficiency and innovation.
- Manage analytical and modeling projects by defining scope, prioritizing tasks, and ensuring successful delivery.
- Contribute to the development of scalable cloud-based solutions, machine learning platforms, and AI-enabled decision systems.
- Support reliable deployment practices through collaboration on CI/CD processes, observability, governance, and operational readiness.
Requirements:
The ideal candidate has strong experience in data science, machine learning, and AI development, combined with the ability to lead technical initiatives and collaborate with diverse stakeholders.
- 5+ years of hands-on experience in data science, analytics, machine learning, or related technical fields.
- Strong practical experience using Python for data analysis, modeling, and production-ready solutions.
- Experience with modern data science tools and technologies such as R, SQL, TensorFlow, and PyTorch.
- Strong understanding of statistical modeling, predictive analytics, and machine learning methodologies.
- Experience developing scalable solutions and applying data science techniques to business problems.
- Working knowledge of CI/CD pipelines, containerization technologies such as Docker, observability concepts, and cloud security fundamentals.
- Exposure to cloud AI platforms such as AWS Bedrock and/or Azure Foundry through professional projects, coursework, or hands-on experience.
- Interest or experience in generative AI and agentic development approaches.
- Familiarity with Infrastructure as Code (IaC) concepts and cloud resource management is a plus.
- Experience coaching, mentoring, or developing other data scientists.
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Strong project management, problem-solving, and strategic thinking abilities.
Benefits:
- Competitive annual compensation range of approximately $134,000 to $209,750 based on experience and qualifications.
- Fully remote work opportunity with a comprehensive home office technology setup.
- Company-provided laptop, monitors, headset, keyboard, and mouse.
- Monthly connectivity reimbursement to support remote work expenses.
- Opportunity to work on advanced analytics, machine learning, and AI initiatives with enterprise-level impact.
- Professional growth opportunities through technical leadership and mentorship responsibilities.
- Collaborative environment focused on innovation, problem-solving, and continuous learning.
- Comprehensive employee benefits package supporting professional and personal wellbeing.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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