Data Scientist

Position Description:

About the Role: We are seeking a talented and driven Data Scientist to join our team. In this role, you will be instrumental in transforming real-world data into actionable insights and innovative solutions. You will work across the entire data science lifecycle, from understanding complex business challenges to deploying robust models that drive impact. - What You'll Do: - Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling. - Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses. - Translate complex business questions and challenges into well-defined data science problems and analytical tasks. - Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting). - Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring. - Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions. - Iterate on models and approaches based on performance feedback and evolving business requirements. - Stay up-to-date with the latest advancements in data science, machine learning, and relevant technologies.

Skills Required:

- Demonstrated ability to deal with and process data from real-world sources. - Experience performing Exploratory Data Analysis (EDA). - Experience with model development (statistical modeling, machine learning). - Familiarity with the process of deploying models into production or working alongside teams that do. - Proven ability to translate business questions into data-driven problems. - Ability to translate data analysis results and model insights into clear, business-oriented solutions. - Proficiency in at least one major programming language used in data science (e.g., Python, R).

Skills Preferred:

- Experience working with cloud computing platforms, particularly Google Cloud Platform (Google Cloud Platform). - Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

Experience Required:

- Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).

Experience Preferred: Experience in the Auto Industry

Education Required: Master's degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

Education Preferred: PhD in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information: Hybrid now, but it can be changed to onsite if corporate requires. 1 day a week now, but it can be changed.