Lead Data Scientist, Machine Learning
The Brick
PythonPyTorchScikit-LearnSQLTableauTensorflow
Data Science Manager
Zicasso
contract
Posted on:
Location Type: Remote
Location: Remote • 🇲🇽 Mexico
Visit company websiteJob Level
SeniorLead
Tech Stack
PythonSQLTableau
About the role
- Lead, mentor, and grow a team of data scientists, providing coaching and professional development opportunities to foster their skills and career paths.
- Manage project allocation, set priorities, and define project roadmaps to ensure the team's work aligns with business objectives and delivers maximum value.
- Serve as the primary liaison between the data science team and cross-functional stakeholders, translating business needs into technical requirements and communicating complex insights effectively to both technical and executive audiences.
- Foster a collaborative, innovative, and results-oriented team culture.
- Maintain hands-on expertise by leading the design, development, and validation of complex predictive models and data driven solutions, including machine learning and natural language processing (NLP) techniques.
- Guide the team in analyzing large, complex datasets to uncover strategic insights that drive product innovation and business growth.
- Oversee the design, implementation, and interpretation of A/B tests and multi-variant experiments to evaluate and optimize product and operational initiatives.
- Collaborate closely with data engineering teams to ensure the development of scalable data infrastructure and maintain data quality and consistency.
- Provide training and guidance on utilizing data analysis and reports to foster a data-centric culture across the organization.
Requirements
- Minimum 7 years of professional experience as a Data Scientist or in a related role, with at least 2 years of experience leading or managing a team of data professionals.
- Demonstrated experience in mentoring and coaching junior and mid-level data scientists.
- Help shape the data science strategy in line with organizational goals, while establishing clear objectives and benchmarks.
- Proficiency in Python or R, with demonstrated experience implementing ML pipelines and frameworks.
- Advanced SQL skills, with experience working on large-scale, relational and/or distributed datasets.
- Experience with data visualization tools such as Tableau or Power BI.
- Proven hands-on experience with performing statistical analysis, predictive modeling and data mining on large and complex datasets.
- Hands-on expertise in AI, machine learning, and natural language processing (NLP) techniques, including model development, tuning, and validation preferred.
- Strong problem-solving skills, with the ability to translate ambiguous business challenges into actionable analytics projects and team roadmaps.
- Effective collaborator with experience working independently in remote team environments.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonRmachine learningnatural language processingpredictive modelingstatistical analysisdata miningSQLdata visualizationA/B testing
Soft skills
leadershipmentoringcoachingproblem-solvingcollaborationcommunicationproject managementstrategic thinkinginnovationresults-oriented
