Location- Hybrid; Dallas
$80k to $100k plus bonus plus benefits
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Responsibilities
Lead medium sized data science projects. Oversee data science standards and documentation. Mentor junior team members. Collaborate with other departments.
What You’ll Do
Backend & API Development
- Build and maintain backend services using Python (FastAPI, Django) or Node.js
- Develop robust RESTful APIs and integrate with internal/external systems
- Improve performance, reliability, and scalability of backend services
Frontend Engineering
- Build intuitive, responsive UIs using React or similar frameworks
- Work closely with design and product teams to bring user experiences to life
Data & Databases
- Write efficient SQL queries and manage relational databases
- Support schema design, data modeling, and performance tuning
Cloud & DevOps
- Deploy and manage applications in cloud environments (AWS, Azure, or GCP)
- Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, etc.)
- Use Atlassian tools (Jira, Bitbucket, Confluence) for workflow and documentation
Collaboration
- Participate in code reviews, sprint planning, and architecture discussions
- Work cross‑functionally with product, design, and QA
- Troubleshoot production issues and contribute to continuous improvement
Graduate in Data Science, Computer Science, Statistics, or a related field. 3-4 years of experience in data science or data analysis.
What We’re Looking For
- 4–5 years of professional software engineering experience
- Strong experience with Python and frameworks like FastAPI or Django
- Solid SQL skills and experience with relational databases
- Hands‑on experience with React or similar frontend frameworks
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience with CI/CD, Jenkins, and Atlassian tools
- Strong understanding of engineering best practices and version control
Bonus Points
- Experience with Docker or Kubernetes
- Knowledge of microservices architecture
- Exposure to infrastructure‑as‑code tools (Terraform, CloudFormation)
Skills Required
- Graduate in Data Science, Computer Science, Statistics, or related field.
- 3-4 years of experience in data science or data analysis.
- 4-5 years of professional software engineering experience.
- Strong experience with Python and frameworks like FastAPI or Django.
- Solid SQL skills and experience with relational databases.
- Hands-on experience with React or similar frontend frameworks.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Experience with CI/CD, Jenkins, and Atlassian tools (Jira, Bitbucket, Confluence).
- Strong understanding of engineering best practices and version control (Git).
- Experience with Docker or Kubernetes.
- Knowledge of microservices architecture.
- Exposure to infrastructure-as-code tools (Terraform, CloudFormation).
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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