Offer summary

Qualifications:

Master's degree or higher in Computer Science, Statistics, Mathematics, or related fields., 7+ years of hands-on experience in Data Science and Machine Learning with real-world impact., 3+ years of experience managing or leading ML/Data Science teams., Proficiency in Python, PySpark, SQL, and modern data science tools..

Key responsibilities:

Lead and mentor a team of Data Scientists and ML Engineers.

Define and execute the team's ML strategy aligned with company goals.

Oversee the full ML lifecycle from data exploration to deployment and monitoring.

Collaborate with cross-functional teams to deliver actionable insights and innovations.

Job description

Description

Nexite is a pioneering startup transforming the world of retail through next-generation IoT. Our platform bridges the physical and digital realms by leveraging battery-less BLE tags that stream real-time data to a powerful cloud platform via in-store wireless networks. This continuous data flow enables retailers to unlock unprecedented insights, optimize operations, and elevate the customer experience like never before.

We’re on a mission to make every item in the store "talk" — and we're just getting started.

We are looking for a hands-on and strategic Team Leader to head our Data Science & Machine Learning team. This is a high-impact leadership role where you’ll guide a growing team of Data Scientists and ML Engineers tackling some of the most complex and unique challenges in retail analytics — from recommendation engines and time series forecasting to signal processing, clustering, and beyond.

You'll be responsible for shaping the team’s roadmap, championing innovation, and translating business challenges into scalable, production-grade ML solutions, powered by Nexite’s rich and continuous IoT data streams.

Responsibilities

Lead & Inspire: Manage and mentor a talented team of Data Scientists and ML Engineers, fostering a culture of collaboration, ownership, and technical excellence.
Drive ML Strategy: Define and own the team’s roadmap, aligning it with company goals and product direction.
Deliver Impact: Guide the team through the full ML lifecycle — from business understanding and data exploration to model development, validation, deployment, and monitoring.
Establish Best Practices: Implement and advocate for high standards in experimentation, model management, reproducibility, and delivery.
Cross-Functional Collaboration: Partner with Data Engineering, Product, and Business stakeholders to define priorities, understand requirements, and deliver actionable, measurable outcomes.
Research & Innovate: Stay on top of the latest advancements in ML and apply state-of-the-art techniques to drive product innovation and value.
Translate Complexity: Communicate sophisticated ML concepts clearly to a wide range of audiences — from executives to engineers to customers.

Requirements

7+ years of hands-on experience in Data Science and Machine Learning, delivering real-world impact in a business environment
3+ years of experience managing or leading ML/Data Science teams
Master's degree or higher in Computer Science, Statistics, Mathematics, or a related field
Proven ability to drive end-to-end ML projects from ideation to production
Strong proficiency in Python, PySpark, SQL and modern data science toolkits
Deep knowledge of ML algorithms, statistical modeling, and quantitative analysis
Experience with model deployment, monitoring, and lifecycle management in production systems
Excellent communication and interpersonal skills — capable of influencing across technical and business domains

Required profile