Data Science Engineer
CIMCON Lighting
Software Engineering, Data Science
United States · Hyderabad, Telangana, India
Posted on Dec 2, 2025
Overview of the Role
We’re looking for a Data Science Engineer who knows how to turn complex data problems into real, scalable solutions. Someone who can balance hands-on model development with guiding a small team and shaping technical direction. You’ll work across machine learning, statistical modelling, and data engineering to build production-ready systems that deliver clear business impact.
Roles and Responsibilities
- Design, build, and deploy advanced machine learning and statistical models for forecasting, prediction, recommendation, and anomaly detection.
- Develop and optimize time series forecasting models for IoT sensor data using both traditional (ARIMA, SARIMA) and deep learning approaches (RNN, LSTM, GRU).
- Lead the end-to-end lifecycle of data science projects, from exploration and experimentation to productionization and performance monitoring.
- Build pipelines and workflows that support scalable model training and inference in production environments.
- Work with NLP, computer vision, and multimodal AI techniques to create practical, customer-facing solutions.
- Implement LLM/SLM-based applications using LangChain, LangGraph, and HuggingFace.
- Collaborate with data engineering and product teams to ensure smooth integration of models with existing systems.
- Provide technical leadership and mentorship to a team of 5–6 data science engineers.
- Join customer calls to present solutions, gather requirements, and ensure alignment with business needs.
Desired Skills and Background
- Bachelor’s or Master’s degree in Computer Science or a related field, plus certification in AI/ML.
- 4–5 years of industry experience in data science and applied machine learning.
- Strong Python development skills with hands-on use of key ML frameworks and libraries.
- Solid grounding in data mining, pattern analysis, and anomaly detection techniques.
- Proven experience building and deploying time series models for IoT data.
- Background in training ML models for predictive and prescriptive analytics using production datasets.
- Practical experience in NLP and computer vision projects.
- Familiarity with LLM/SLM tools, including LangChain, LangGraph, and HuggingFace.
- Exposure to cloud platforms and modern data engineering tools.
- Comfortable managing a small technical team and interacting directly with customers.