At Stellar, we are committed to keeping humans at the center of AI transformation. Our mission is to help organizations leverage data and AI technologies to drive better business outcomes while keeping human values and ethics at the forefront. We believe that AI has the potential to revolutionize the way we live and work, but it must be developed and deployed responsibly and with consideration for its impact on society. We are committed to working with our clients to develop ethical and responsible AI solutions that benefit both their organizations and the communities they serve. We believe that by putting humans at the center of AI transformation, we can create a brighter, more equitable future for everyone. We’re looking for passionate and dedicated individuals who share our commitment to diversity, equity, and inclusion and our mission to keep humans at the center of AI transformation.
Job Title: Consultative Data Scientist
Job Summary: We are seeking a Consultative Data Scientist to join our team. The ideal candidate will have a strong background in data analysis and statistical modeling, as well as excellent communication and consulting skills. The Consultative Data Scientist will work closely with clients to understand their business needs, and will provide expert guidance on how to leverage data to make informed decisions.
- Work collaboratively with clients to understand their business objectives and data-related challenges
- Develop and implement custom data analysis solutions, including statistical models and machine learning algorithms, to solve complex business problems
- Provide expert guidance and advice on data-related issues to clients, including data management, analysis, visualization, and interpretation
- Collaborate with cross-functional teams to ensure that data analysis solutions are aligned with client needs and business objectives
- Communicate complex data analysis concepts and results to non-technical stakeholders in a clear and concise manner
- Continuously stay up-to-date with the latest trends and developments in data analysis and related technologies
- Conduct training sessions and workshops to help clients build their data analysis skills and capabilities
- Support business development activities by identifying new opportunities and preparing proposals and presentations for prospective clients
- Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field
- 5+ years of experience in data analysis, statistical modeling, and/or machine learning
- Strong consulting and client-facing skills, including the ability to build strong relationships with clients and understand their business needs
- Excellent communication and presentation skills, with the ability to communicate complex data analysis concepts to non-technical stakeholders
- Strong problem-solving and critical thinking skills, with the ability to develop and implement innovative data analysis solutions
- Proficiency in programming languages such as Python or R, as well as experience with data analysis and visualization tools such as SQL, Tableau, Alteryx and Power BI. Experience with Sigma Computing is a plus.
- Experience working in a consulting or client-facing role is strongly preferred
- Strong project management skills and the ability to manage multiple projects and priorities simultaneously
- Ability to work independently as well as in a team environment
If you are passionate about leveraging data to drive business results and thrive in a collaborative, client-focused environment, we encourage you to apply for this exciting opportunity as a Consultative Data Scientist at Stellar.
At Stellar, we believe that diversity, equity, and inclusion are fundamental to our success. We are committed to creating an inclusive and welcoming environment where everyone can bring their authentic selves to work and contribute to our shared goals. We believe that a diverse team with varied perspectives and backgrounds can drive innovation, creativity, and better outcomes for our clients. We are dedicated to fostering a culture of respect, fairness, and equality, and to continuously improving our diversity, equity, and inclusion practices.