Senior Data Scientist

4 weeks ago

Chicago, Illinois, United States Tovala Full time
About Tovala

Tovala is a food-tech company that's revolutionizing home cooking to save consumers time. We're passionate about making it easy for anyone to prepare and enjoy delicious, home-cooked meals without sacrificing time to do whatever matters to them. Our innovative combination of hardware, software, and fresh food delivery makes it simple to cook and enjoy meals that are both healthy and delicious.

Job Summary

We're looking for an experienced Data Scientist to join our team. As a Data Scientist at Tovala, you'll play a key role in helping us make data-driven decisions to drive business growth and improve customer experiences. You'll work closely with our data team and cross-functional partners to build analytics solutions that deliver insights and support business initiatives.

Key Responsibilities

- Develop robust, scalable demand models using Python and advanced statistical techniques.
- Design and implement causal models to inform strategic and investment decisions.
- Leverage simulation techniques to assess business scenarios and improve decision quality.
- Build intuitive user interfaces and visualizations to make complex insights accessible.
- Lead analytics projects from ideation to deployment, ensuring models are tested, validated, and production-ready.
- Collaborate with analysts and business stakeholders to combine critical domain knowledge with advanced analytics methodologies to design actionable solutions to business problems.
- Optimize and refine models for computational efficiency and scalability, particularly for large datasets.
- Partner closely with data engineers to deploy models and build out a code library.
- Build out tables and definitions within the ETL to support business initiatives.
- Contribute to the overall data strategy by identifying new data sources, tools, and methodologies to enhance analytical capabilities.
- Manage multiple projects simultaneously, balancing short-term needs with long-term strategic initiatives.
- Regularly conduct code reviews and technical deep dives with peers to ensure high-quality model deployment and adherence to best practices.
- Participate in data governance and help set the framework for good data practices at Tovala.

Requirements

- Advanced degree (Master's or PhD) or equivalent experience in a technical field (e.g., Statistics, Data Science, Mathematics, Computer Science, or related discipline).
- 5+ years of experience in a data science role, with a proven track record of solving complex problems using machine learning and statistical models.
- Strong programming skills in Python, including experience with advanced machine learning libraries such as TensorFlow, Keras, PyMC, or equivalent.
- Proficient in SQL and have experience working in a data warehouse environment (preferably Snowflake).
- Understand causal inference and have experience with frameworks like DoWhy or causal ML packages.
- Experience with time series analysis and applying Bayesian methods.
- Familiar with simulation techniques (e.g., MCMC, agent-based modeling) and their business applications.
- Experience collaborating with engineering teams to deploy models into production and are proficient in version control (e.g., Git).
- Strong communication skills and are able to present complex findings to technical and non-technical audiences in a clear and actionable way; experience with BI tools is a plus.
- Collaborative team player who is comfortable both giving and receiving feedback.
- Proactive learner with a growth mindset, constantly seeking to enhance your knowledge and skills.
- Comfortable working independently with minimal oversight, while driving technical initiatives forward.
- Strong project management skills with the ability to prioritize and balance multiple complex projects.

About You

We're looking for someone who is passionate about data science and has a strong technical background. You should have a proven track record of solving complex problems using machine learning and statistical models. You should be proficient in Python and have experience working in a data warehouse environment. You should also have experience with causal inference, time series analysis, and simulation techniques. Additionally, you should have strong communication skills and be able to present complex findings to technical and non-technical audiences. If you're a collaborative team player who is comfortable working independently and driving technical initiatives forward, we'd love to hear from you.

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