Data Scientists Modeling

Job 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 Auto Industry