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
Qualifications
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)
