Simple Energy - Data Science Lead - Machine Learning (5-7 yrs)

What You'll Do :

- Develop and implement advanced machine learning models, such as time series forecasting, anomaly detection, and predictive maintenance.

- Utilize statistical techniques and data mining algorithms to extract meaningful insights from complex automotive datasets.

- Design and build data pipelines to efficiently ingest, process, and transform large volumes of data.

- Collaborate with data engineers to ensure data quality and consistency.

- Develop real-time analytics solutions to enable timely decision-making and proactive interventions.

- Implement techniques for streaming data processing and analysis, such as Apache Kafka and Apache Flink.

- Build low-latency models to support real-time applications.

- Work closely with product managers, engineers, and business stakeholders to understand their needs and translate them into data-driven solutions.

- Communicate complex technical concepts to non-technical audiences in a clear and concise manner.

- Ensure data privacy and security by adhering to relevant regulations and best practices.

- Establish data governance standards and processes.

What You'll Need :

- 5-7 years of experience in data science, with a strong focus on the automotive industry.

- Advanced knowledge of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.

- Proficiency in Python and relevant data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).

- Experience with data engineering tools and technologies (SQL, Spark, Hadoop, Airflow).

- Strong understanding of statistical concepts and data analysis techniques.

- Experience with cloud platforms (AWS, GCP, Azure) and cloud-based data solutions.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.

- A passion for innovation and a desire to push the boundaries of data science