
Location: Fort Worth, TX (Hybrid – 3 Days Onsite)
Job Description:
We are looking for an experienced Sr. Data Scientist to join a centralized Machine Learning team supporting multiple business units within a large enterprise environment.
The ideal candidate will have strong expertise in Machine Learning, Deep Learning, Python development and model deployment with the ability to work collaboratively across teams to deliver high-impact business solutions.
Responsibilities:
Design, develop, train, evaluate, and deploy Machine Learning and Deep Learning models
Perform data extraction, cleansing, feature engineering, and advanced data analysis
Build scalable ML solutions using cloud and distributed computing platforms
Collaborate with cross-functional teams and business stakeholders to identify opportunities and deliver data-driven solutions
Optimize model performance and ensure production readiness
Communicate technical findings and recommendations effectively to technical and non-technical audiences
Required Qualifications:
Master’s or PhD degree in Data Science, Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative discipline
3+ years of hands-on experience in Data Science and Machine Learning
Strong programming experience with Python
Strong knowledge of Machine Learning and Deep Learning techniques
Experience in model training, deployment, and evaluation
Experience with data extraction, transformation, and analysis
Strong analytical and problem-solving skills
Preferred Qualifications:
10+ years of experience in a technical or enterprise environment
Hands-on experience with Databricks and Azure ML
Experience with SQL and data visualization tools such as Tableau or PowerBI
Experience building scalable cloud-based ML solutions
Consulting or client-facing experience is highly preferred
Top Must-Have Skills:
Python
Machine Learning
Deep Learning
MS/PhD Degree
Nice-to-Have Skills:
Databricks
Azure ML
SQL
Tableau
PowerBI
Team Environment:
The candidate will work within a centralized ML team consisting of Senior and Principal level Data Scientists supporting seven business units.
The environment is collaborative, innovation-driven, and focused on delivering measurable business and revenue impact.