Data Science Manager

Wiliot; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

An innovative technology firm is seeking a Data Science Manager to lead their data organization. This hands-on leadership role will guide the data science and analytics teams in building scalable, production-ready data solutions. The ideal candidate will bridge the gap between data science and engineering, ensuring data initiatives align with business needs. Join a fast-growing company revolutionizing everyday products through IoT technology and be part of a journey that is reshaping the future of connectivity and intelligence.

Qualifications

• Strong software engineering background with expertise in data engineering.
• Experience deploying and maintaining machine learning models in production.

Responsibilities

• Lead the design and implementation of scalable data engineering and ML pipelines.
• Ensure machine learning models are effectively deployed in production.

Skills

Python

SQL

Data Engineering

Machine Learning Infrastructure

Problem-Solving

Tools

AWS

GCP

Azure

Spark

Databricks

Polars

DuckDB

Job description

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Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the world’s largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.

We are growing fast and need people that want to be part of the journey, commercializing Sensing as a Service and enabling “Intelligence for Everyday Thing”.

We are seeking a Data Team Lead to provide technical leadership for our data organization. This individual will be responsible for guiding our data science and analytics teams in building scalable, production-ready data solutions. Reporting to the Director of Strategy, this role will ensure that our data science models and analytical insights are efficiently engineered, deployed, and maintained in production.

This is a hands-on leadership role requiring both deep technical expertise and mentorship. The ideal candidate will bridge the gap between data science, engineering, and analytics, ensuring that our data-driven initiatives are scalable, reliable, and aligned with business needs.

Responsibilities:

• Technical Leadership: Lead the design, architecture, and implementation of scalable data engineering and ML pipelines.
• Productionization of Data Science Models: Ensure that machine learning models are effectively deployed and maintained in production environments.
• Collaboration & Strategy: Work closely with data scientists, analysts, and engineers to define best practices and integrate engineering rigor into data workflows.
• Infrastructure & Pipelines: Oversee data infrastructure, storage, and processing pipelines to support real-time and batch analytics.
• Code Quality & Best Practices: Establish coding standards, CI/CD practices, and engineering excellence within the team.
• Mentorship & Growth: Provide technical mentorship to the team, helping data scientists and analysts improve their engineering skill sets.
• Stakeholder Communication: Work cross-functionally with business leaders, product managers, and technical teams to align data initiatives with organizational goals.
  
  

Requirements:

• Strong software engineering background with expertise in data engineering, distributed systems, or ML infrastructure.
• Experience deploying and maintaining machine learning models in production environments.
• Proficiency in Python, SQL, and cloud-based data platforms (AWS, GCP, or Azure).
• Experience with modern data stack tools (e.g., Spark, Databricks, Polars, DuckDB).
• Familiarity with MLOps best practices (model versioning, monitoring, retraining).
• Proven experience leading teams or mentoring engineers/data scientists.
• Strong problem-solving skills and ability to work in a fast-paced environment.
  
  

The salary range for this position is 150-250K USD annually .

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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