Sr. Staff Data Scientist

Role : Sr Staff Data Scientist - Technical Leadership and Initiative Driver

Location : Dallas, TX,

Other Synonym Titles : Senior Data Scientist, Senior Developer -data Science,

Overview:

Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily. Collaborate closely with sales, product, and engineering teams to spearhead the design and implementation of cutting-edge retail solutions. 

Technical Environment

Operate within a sophisticated technical landscape, utilizing Python 3.* and frameworks such as TensorFlow, PyTorch, BigQuery, Apache Beam,

Apache Spark, Kubeflow, Dataflow, Kubernetes, Kafka, Pub/Sub, and Flask. Our application architecture follows a scalable, resilient, reactive, event-driven

, and secure multi-tenant Microservices design, hosted on Google and Azure Cloud. 

Responsibilities:

As the Sr Staff Data Scientist, you will: 

- As Senior 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. 

If you are a seasoned data scientist with a passion for leadership, ready to guide a team in implementing impactful initiatives, we invite you to lead innovation at Blue Yonder. 

Qualifications:

- Bachelor’s Degree in Computer Science or any other related field is required

- Min 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 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. 

- Familiarity with deep learning, time series, NLP, reinforcement learning, and combinatorial optimization. 

- Proven experience in team leadership, mentoring junior data scientists in an official or unofficial capacity. 

- Desired knowledge of Kafka, Redis, Cassandra, etc. 

#LI-SR1

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The salary range for this positions is $150,385 - $189,615

The salary range information provided, reflects the anticipated base salary range for this position based on current national data.  Minimums and maximums may vary based on location.  Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors.  In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.

At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes: 

• 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

At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which