Lead Data Science Engineer
CIMCON Lighting
Data Science
United States · Hyderabad, Telangana, India
Posted on Jan 20, 2026
About Quantela
We are a technology company that offers outcomes business models. We empower our customers with the right digital infrastructure to deliver greater economic, social, and environmental outcomes for their constituents.
When the company was founded in 2015, we specialized in smart cities technology alone. Today, working with cities and towns, utilities, and public venues, our team of 280+ experts offers a vast array of outcomes business models through technologies like digital advertising, smart lighting, smart traffic, and digitized citizen services.
We pride ourselves on our agility, innovation, and passion to use technology for a higher purpose. Unlike other technology companies, we tailor our offerings (what we can digitize) and the business model (how we partner with our customers to deliver that digitization) to drive measurable impact where our customers need it most.
Over the last several months alone, we have served customers to deliver outcomes like increased medical response times to save lives, reduced traffic congestion to keep cities moving, and created new revenue streams to tackle societal issues like homelessness.
We are headquartered in Billerica, Massachusetts in the United States with offices across Europe and Asia.
The company has been recognized with the World Economic Forum’s ‘Technology Pioneers’ award in 2019 and CRN’s IoT Innovation Award in 2020.
For the latest news and updates, please visit us at www.quantela.com
For the latest news and updates, please visit us at www.quantela.com
Overview of the Role
We are looking for a Lead Data Science Engineer with 8+ years of industry experience to design, build, and scale advanced data science solutions that deliver measurable business impact. This role sits at the intersection of data science research and production engineering.
Roles and Responsibilities
- Lead the design, development, and deployment of end-to-end data science and machine learning solutions.
- Build and productionize time series forecasting models for IoT sensor data using both traditional methods (ARIMA, SARIMA) and deep learning approaches (RNN, LSTM, GRU).
- Develop and train ML models for recommendations, predictions, and prescriptive analytics using real-world production data.
- Apply data mining, pattern analysis, and anomaly detection techniques to extract actionable insights.
- Design and deliver NLP and Computer Vision–based solutions for business use cases.
- Implement and integrate LLM and SLM solutions using frameworks such as LangChain, LangGraph, and HuggingFace.
- Collaborate with data engineering teams to ensure robust pipelines, scalable infrastructure, and clean data flow.
- Lead and mentor a team of 5–6 data science engineers, setting technical direction and best practices.
- Participate in customer discussions to understand requirements, explain solutions, and align outcomes with business goals.
Desired Skills / Background
- 8+ years of experience in data science, machine learning, or applied AI roles.
- Bachelor’s or Master’s degree in Computer Science or a related field; AI/ML certification preferred.
- Strong Python programming and debugging skills with extensive experience in AI/ML libraries.
- Solid understanding of statistical modeling, machine learning algorithms, and deep learning techniques.
- Proven experience with time series forecasting, especially for IoT or sensor-based data.
- Hands-on experience building NLP and Computer Vision solutions.
- Practical experience using LLMs and SLMs with modern frameworks and toolchains.
- Strong exposure to data engineering tools and cloud platforms.
- Experience leading small teams and balancing hands-on technical work with people management.
- Clear communication skills with the ability to work directly with customers and senior stakeholders.