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Staff Data Scientist (Mt Rainier)
Staff Data Scientist (Mt Rainier)Andela • Mt Rainier, MD, US
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Staff Data Scientist (Mt Rainier)

Staff Data Scientist (Mt Rainier)

Andela • Mt Rainier, MD, US
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At Andela, we know brilliance is evenly distributed around the world, but opportunity is not. For over 10 years, Andela has connected its customers with top global, remote technical talent from over 135 countries with the majority residing in emerging markets like Africa and Latin America. As one of the worlds largest talent marketplaces, Andela gives companies greater flexibility to quickly deploy qualified technologists. With talent highly skilled in advanced technologies to support Application Development, Artificial Intelligence, Cloud & DevOps, Data Engineering, and much more, customers experience 33% faster project delivery. The companys exclusive AI-powered platform, Andela Talent Cloud, is the industrys only unified platform managing the complete global talent lifecycle and enables customers to fill individual roles or engage fully managed teams up to 66% faster. Andela is on the precipice of two breakout industry transformations : one in staffing / hiring and the other in software development, both accelerated by generative AI. Join us and change the world. We are looking for a Staff Data Scientist to join our team building a world-class technology marketplace platform for engineering talent and delivering cutting-edge Generative AI (GenAI) managed solutions for enterprise clients. In this role, you will leverage deep statistical expertise, advanced modeling techniques, and rigorous research methods to design, evaluate, and optimize data-driven products. Your work will directly shape our talent-matching algorithms, enhance clienttalent engagement strategies, and drive innovation in AI-powered services that fuel our strategic growth. Exceptional Leadership : As an Andelan, you dont need to be a people manager to be a leader, and youll serve as a role model for the rest of the company. Think about the feedback your peers typically give you if it usually sounds like the below, we want to hear from you. Low ego, low drama, servant leader : You share credit, take blame. You like being wrong because it means someone else had an even better idea. One team mentality : You break silos across teams. You put the company and mission first above yourself and team alone. Great listener, hungry for feedback : Youre always seeking to improve our product, our business, yourself. You solicit diverse opinions and deeply listen. Owner, not renter : You see a problem, you fix it or find someone who will. The buck stops with you. Player-coach : You roll up your sleeves and get scrappy. You do this by proactively collaborating with your team while actively engaging in important details. Business problem solver : Youre not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems. Key Responsibilities : Lead the design, development, and continuous improvement of advanced statistical, machine learning, and generative AI models, with a primary focus on talent marketplace matching, recommendation systems, and predictive analytics. Conduct research-driven initiatives to improve the scalability, interpretability, and real-world performance of AI models, ensuring measurable impact for enterprise customers. Build robust experimentation frameworksincluding A / B testing, causal inference, and advanced statistical validationto guide algorithmic and product decisions. Partner with engineering teams to ensure that models are deployed efficiently, monitored effectively, and optimized for performance in production environments. Collaborate closely with product managers, AI specialists, and client-facing teams to align data science initiatives with customer needs and business goals. Stay ahead of emerging trends in AI, GenAI, and marketplace technologies, proactively recommending innovations and best practices. Contribute thought leadership by publishing research, presenting at conferences, and mentoring peers to foster a culture of technical excellence. Qualifications Ph.D. in a STEM discipline (Mathematics, Computer Science, Statistics, Physics, Engineering) with a significant research component. Strong expertise in mathematical modeling, optimization algorithms, and statistical analysis. Proven track record in designing, validating, and deploying machine learning and Generative AI models, ideally within marketplace or recommendation system contexts. Proficiency in industry-standard data science tools and frameworks (Python, TensorFlow, PyTorch, SQL) and familiarity with cloud-based data platforms. Ability to distill complex analytical findings into actionable insights for technical and non-technical stakeholders. Excellent communication and collaboration skills, with experience influencing cross-functional teams. Demonstrated thought leadership through publications, patents, or conference presentations is highly desirable. LI-REMOTE LI-RDR Fully Remote work culture - we hire globally and all of our roles are fully remote! Bring your own device stipend - buy your own laptop with funds from Andela Equity (as a part of the compensation package) Generous Paid Time Off, Parental Leave, Compassionate Leave And more to come! We're on a journey to reimagine global benefits at Andela. At Andela, we outcompete through diversity. We know that our strengths lie in the multiplicity of talents, perspectives, backgrounds & orientations resident in our community and we take pride in that. Andela is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities and workplace to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV / AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Our policies expressly prohibit any form of harassment and / or discrimination as stated above. Andela is home for all, come as you are. J-18808-Ljbffr

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Staff Data Scientist • Mt Rainier, MD, US

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