Lead Data Scientist

Who We Are:

LIFELENZ is a rapidly growing team of 80+ mathematicians, engineers, designers, computer scientists, strategists and client success experts based in the U.S., Canada, UK and Australia, building a machine learning-based, advanced analytics workforce and human capital management platform. We have built and maintained over 20+ platforms over a 19-year period. We have won many awards for client delivery and collectively contributed to over 100+ global patents for complex software platforms.  We have recently closed our financing B round bringing our total capital raised to over $55M.  

Who We Are Seeking:

The role of the LIFELENZ Lead Data Scientist is to develop and deploy high-quality innovative analytical models that are in alignment with our mission – to build and grow a global AI-optimized scheduling and forecasting platform that will empower and reward people within the fast-food and Quick Service Restaurant (QSR) industry. LIFELENZ data scientists have a passion for investigating real customer problems and devising innovative solutions through statistical and mathematical analysis.  

While this is primarily an analytics role, there is a client-facing and client support component and some client facing experience is an essential requirement.

An ideal applicant will have a strong mathematical background, experience writing code in a production environment and comfort working with internal and external stakeholders to coordinate and deliver strategic outcomes.

Key responsibilities

The LIFELENZ Data Science team is looking for a candidate with strong analytical and data skills to join the team. The Data Scientist will work closely with multiple stakeholders across the business to develop models, optimize systems, and leverage data to support tactical and strategic decisions.

• Build and test machine learning models to support the LIFELENZ platform.
• Maintain and contribute to existing Data Science codebases and automation of existing forecast model pipeline.
• Develop and deploy models to the LIFELENZ platform that provide ongoing forecasts, optimizations, recommendations, and insights. 
• Review diagnostic and performance reports to locate and correct problems and optimize algorithms.
• Work collaboratively with peers by actively participating in research reviews and discussions.
• Work with Client Support and Delivery teams to communicate outcomes, changes, and new features in the LIFELENZ platform. 
• Work with analytical leaders to prioritize business information and potential software improvements.
• Support sales development process.
• Lead internal and external projects and direct junior data scientists.

Knowledge, Experience, [Competencies/Capabilities] Qualifications

• Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science, Data Science or a relevant field. Master’s or PhD preferred.
• Experience with time series modelling and forecasting.
• Professional experience in some of the following areas: machine learning, statistics, optimization, regression modelling, deep learning, generative AI, causal inference, experimentation.
• Production development experience with Python. 
• Proficiency with statistical packages in Python (e.g., scikit-learn, NumPy, SciPy, Pandas, Statsmodels, matplotlib, and PyTorch).
• Proficiency with relational database concepts, SQL, and knowledge of ETL processes.
• Proficiency with version control systems (e.g., Git).
• Proficiency with cloud technologies such as AWS, GCP, or Azure.
• Experience in a client-facing role.
• Ability to work effectively with external analytics individuals.
• Ability to communicate clearly with technical and non-technical audiences.
• Knowledge of reporting packages (such as Tableau, Microsoft Power BI, Business Objects) is preferred.
• Demonstrated desire to learn new skills.

LIFELENZ Values:

As an employee at LIFELENZ, you are expected to operate in line with our workplace values:

• Customer Delight
• Innovate & Simplify
• Interconnected Teams
• Act Like an Owner
• Results Matter
• Pursue Excellence