Data Scientist for Product Sustainability at Roche managing environmental data for sustainability reporting. Bridging Global Sustainability Experts and IT systems to ensure actionable insights for product emissions and compliance.
About the role
- Staff Data Scientist guiding the implementation of machine learning models and deep learning tools at Blue Yonder. Collaborating with cross-functional teams to deliver retail solutions for data science and ML applications.
Responsibilities
- As Staff Data scientist, you will be a guiding the team in the implementation of machine learning models and deep learning tools.
- Collaborate with cross-functional teams to execute data enrichment, cleansing routines, and feature selection.
- Evaluate candidate models, select the final model, and report on test performance.
- Ensure proper runtime deployment of models and implement runtime monitoring for continued model stability.
- Drive collaboration with product, sales, and engineering teams to shape the final solution.
- Utilize data to understand patterns, formulate and test hypotheses, and iterate as needed.
- Play a key role in preparing sales materials and estimating hardware requirements.
- Lead client meetings, both online and onsite, to discuss new and current functionality.
Requirements
- Bachelor’s Degree in Computer Science or any other related field is required
- Min 8 to 10 years of experience with strong foundation in data science and deep learning principles.
- Proficient in Python programming with a solid understanding of data structures.
- Experience with frameworks and libraries like Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib, etc.
- Expertise in a database query language, preferably SQL.
- Familiarity with deep learning, time series, NLP, reinforcement learning, and combinatorial optimization.
- Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks.
- Solid experience with major cloud platforms, preferably Azure and/or GCP.
- Knowledge of modern software development tools and best practices, including Git, Github Actions, Jenkins, Docker, Jira, etc.
- Proven experience in team leadership, mentoring junior data scientists in an official or unofficial capacity.
- Desired knowledge of Kafka, Redis, Cassandra, etc.
Benefits
- Comprehensive Medical, Dental and Vision
- 401K with Matching
- Flexible Time Off
- Corporate Fitness Program
- A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more
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