Data Scientist
Company: JDA Software
Location: Dallas
Posted on: May 24, 2025
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Job Description:
Eligibility: We are unable to accommodate individuals on F1/CPT/OPT visa status for this position.Any applicant who applies that is of this status, their application will be automatically rejected.Role: Data Scientist 1Location: Dallas, TX (this role will work hybrid - at least 2 days per week in the office, 2 to 3 days remotely)Overview:
- Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor's "Best Places to Work"
- Seeking an astute individual with a strong technical
foundation, hands-on experience with the engineering team, and deep
knowledge of Data Science and Machine Learning, capable of
implementing industry best practices in collaboration with platform
and product teams.Scope:
- Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models, and produces billions of predictions daily.
- The Data Science and Machine Learning team collaborates closely
with sales, product, and engineering teams to design and implement
advanced retail solutions, transforming data into actionable
insights that improve customer outcomes.What you will do:
- As a Data Scientist, you will serve as a specialist supporting the engineering team with:
- Implementing machine learning models by procuring data from various sources.
- Developing data enrichment and cleansing routines.
- Evaluating, selecting, and reporting on model performance.
- Ensuring proper deployment and runtime monitoring of models to maintain stability.
- Collaborating with product, sales, and engineering teams to shape solutions.
- Analyzing data to identify patterns, test hypotheses, and iterate.
- Assisting in preparing sales materials and estimating hardware needs.
- Participating in client meetings to discuss functionalities.Our
current technical environment:
- Software: Python 3.0
- Frameworks/Others: TensorFlow, PyTorch, BigQuery, Snowflake, Apache Beam, Spark, Kubeflow, Dataflow, Databricks, Kubernetes, Kafka, Pub/Sub, Flask
- Cloud: Google Cloud and/or AzureWhat we are looking for:
- Bachelor's degree in Computer Science, Statistics, Data Analytics, Engineering, or related fields.
- Strong understanding of data science and deep learning fundamentals.
- Minimum 1-2 years of hands-on Python programming experience and solid knowledge of data structures.
- Experience with at least two frameworks/libraries like Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib.
- Proficiency in database query languages, preferably SQL.
- Knowledge of Big Data technologies such as Snowflake, Apache Beam/Spark, Flink, Databricks.
- Experience with cloud platforms, preferably Azure and GCP.
- Familiarity with software development tools like Git, Jenkins, Docker, Jira.
- Knowledge of deep learning, NLP, reinforcement learning, and optimization techniques.
- Experience mentoring junior data scientists.
- Desired familiarity with Kafka, Redis, Cassandra,
etc.-------------------------------------------The salary range for
this position is $85,788 - $108,212.This range reflects current
national data; actual salary may vary based on location, skills,
experience, and other factors. The role is eligible for performance
bonuses or commissions.We offer comprehensive benefits including
Medical, Dental, Vision, 401K with matching, Flexible Time Off,
Fitness programs, voluntary benefits, and more.Our company values
inclusion and diversity, fostering a workplace where everyone can
share their talents safely. We are an equal opportunity employer
committed to a diverse culture and supporting various professional
and personal growth opportunities.Our ValuesOur core values drive
our success and that of our customers. Learn more about our values
here: Core ValuesAll qualified applicants will receive
consideration regardless of race, color, religion, sex, sexual
orientation, gender identity, national origin, disability, or
veteran status.
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Keywords: JDA Software, Tyler , Data Scientist, Other , Dallas, Texas
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