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Senior Data Scientist II – Machine Learning, Deep Learning, Python, Pytorch
Blue Yonder. Implement machine learning models using platform, client, and public data sources .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in implementing machine learning models and data enrichment processes, with proficiency in Python and experience in cloud platforms. Capable of collaborating with cross-functional teams to analyze data patterns and guide junior data scientists.
Highest-signal resume keywords
Machine Learning Model ImplementationPython ProgrammingData Science FoundationsCloud Platform ExperienceDatabase Query Language Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData EnrichmentFeature SelectionDeep LearningSQLData StructuresNLPReinforcement LearningCombinatorial OptimizationData Analysis
Soft Skills
CollaborationCommunicationMentoring
Tools & Technologies
PandasNumPyKerasTensorFlowJupyterMatplotlibSnowflakeApache BeamApache SparkDatabricks
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceGraduate Degree Preferred
Industry Keywords
Cloud PlatformsData ScienceMachine LearningDeep LearningSoftware Development Best Practices
Tech Stack
Tools & technologiesApacheAzureCassandraCloudDockerGoogle Cloud PlatformJenkinsKafkaKerasNumpyPandasPythonRedisSparkSQLTensorflow
About the role
Key responsibilities & impact- Implement machine learning models using platform, client, and public data sources
- Implement data enrichment and cleansing routines
- Implement features and prepare modeling datasets, including feature selection
- Evaluate candidate models, select final models, and report test performance
- Deploy models at runtime and monitor model inputs and performance for stability
- Work with product, sales, and engineering teams to shape solutions
- Analyze data patterns, formulate and test hypotheses, and iterate
- Help prepare sales materials and estimate hardware requirements
- Attend online and onsite client meetings to discuss functionality
Requirements
What you’ll need- Bachelor’s Degree in Computer Science or related fields; graduate degree preferred
- Solid understanding of data science and deep learning foundations
- Proficient in Python programming with a solid understanding of data structures
- Experience with Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib
- Expertise in a database query language; SQL preferred
- Familiarity with Snowflake, Apache Beam, Apache Spark/Flink, and Databricks
- Solid experience with major cloud platforms, preferably Azure and/or Google Cloud Platform
- Knowledge of Git, Jenkins, Docker, Jira, and modern software development best practices
- Familiarity with deep learning, NLP, reinforcement learning, and combinatorial optimization
- Experience guiding junior data scientists
- Desired knowledge of Kafka, Redis, and Cassandra