Clinical Data Science Programmer at ICON developing programming solutions. Ensuring data integrity while collaborating with data scientists for clinical trial data analysis.
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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