Principal, IT Data Science
- Atlanta, GA
- Permanent
- Full-time
This role requires a hands-on leader who can bridge the gap between data science and business strategy, mentor team members, and collaborate across functions in an agile environment. You will also play a key role in promoting best practices in MLOps, LLMOps, model governance, and responsible AI.Key Responsibilities:
Data Science & AI Leadership (70%)
- Lead the end-to-end lifecycle of data science projects-from problem definition to model deployment and monitoring.
- Develop and operationalize machine learning models using Azure Databricks, MLFlow, Azure DevOps and Python.
- Design scalable data pipelines and workflows in collaboration with data engineering teams.
- Apply advanced statistical modeling, machine learning, and AI techniques to solve complex business problems.
- Create compelling data visualizations and dashboards using Power BI or Tableau.
- Promote reproducibility, version control, and automation using Azure DevOps, Git, and CI/CD pipelines.
- Drive best practices for putting ML/AI models into production, including monitoring, retraining, and performance evaluation.
- Share insights on common pitfalls and success factors in productionizing machine learning solutions.
- Act as the primary point of contact for data science initiatives across business units.
- Translate complex analytical concepts into clear, actionable insights for stakeholders.
- Collaborate with cross-functional teams including product managers, engineers, and business analysts.
- Foster a culture of experimentation, continuous learning, and knowledge sharing within the data science community.
- Master's degree with a strong academic background in statistics (e.g. mathematics, statistics, computer science, data mining, machine learning, operations research, physics, or a related quantitative discipline)
- Doctoral Degree or PhD advantageous
- 3+ (with master's degree) years of experience in advanced analytics data analysis. Experience on the whole life cycle of model building for solving real-world complex problems. Preferably some experience within the automotive or mobility industry.
- A deep understanding of statistical and predictive modelling concepts, including machine-learning or data mining approaches.
- Strong statistical modelling experience and data aggregation skills
- An expert in analysing large, complex, multi-dimensional data sets.
- Data visualization knowledge
- Familiarity with cloud ecosystem (Azure Cloud, Hive, Spark, Kafka)
- Exceptional communication skills towards colleagues and management
- Excellent written and communications skills to report back the findings in a clear, structured manner are required.
- Experience in working in an agile team with internal and external resources.
- Proficient in at least one IDEs such as VS Code or PyCharm (VS Code preferred)
- Proficient knowledge in SQL, Python and R (knowledge in Pyspark, SparkR or Scala is a plus), proficient in data visualization (i.e. proficient in Tableau or PowerBI)
- Familiarity with modern software development practices (Git, JIRA, CI/CD methods, MLOps)
- Programming: Strong programming skills in Python and SQL; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch, etc.
- Data & Cloud Platforms: Azure Cloud, Azure Databricks, Spark, Kafka, Docker and Kubernetes
- MLOps & DevOps: MLFlow, Azure DevOps, CI/CD pipelines, Git
- Visualization: Power BI, Databricks
- Languages: SQL, PySpark, R (optional)
- Strong analytical and problem-solving mindset
- Excellent communication and storytelling skills
- Ability to lead and mentor cross-functional teams
- Strategic thinking with a focus on business impact
- Comfortable working in a fast-paced, agile environment
- Fluent in English