Data Scientist

Position Overview

We are seeking a hands-on

Data Scientist

to support the growth of our expanding data science department. This role is ideal for someone with a strong

machine learning and data science background

who can work closely with both

business and IT teams

to deliver practical, scalable solutions. The right candidate will be comfortable building modules, developing predictive models, and supporting multiple stakeholders across the organization.

This individual should understand not just how to build models, but also the

science behind data science

—someone who can apply sound statistical and machine learning methods to real-world operational data.

Key Responsibilities

• Build and develop

data science modules

and analytical solutions to support business initiatives

• Partner with

business and IT teams

to translate needs into scalable technical solutions

• Support multiple team members and stakeholders across projects, serving as a key hands-on contributor
• Analyze large, complex datasets and develop actionable insights
• Design, build, and deploy

machine learning models

, including

predictive models

• Work with

time series data

to identify trends, patterns, and forecasting opportunities

• Develop models to help

predict equipment downtime

and improve operational performance

• Work with data from

SCADA systems

and industrial sources

• Support use cases involving

IoT / sensor-based data

• Perform data analysis, model validation, and ongoing performance monitoring
• Contribute to Python-based development for analytics and machine learning applications
• Communicate findings, recommendations, and technical concepts clearly to both technical and non-technical audiences

Required Qualifications

• 3–4 years of experience

in

data science, machine learning, or advanced analytics

• Strong background in

machine learning, statistics, and predictive modeling

*

2+ years of hands-on Python development experience

• Experience working with

time series data

• Experience building models for forecasting, anomaly detection, or predictive maintenance
• Strong

data analysis

skills with the ability to turn raw data into business insights

• Experience working within a

Microsoft technology stack

• Excellent

communication skills

and ability to collaborate with both business and technical teams

• Proven ability to be a

hands-on contributor

in a growing team environment

Preferred Qualifications

• Experience in

oil \& gas

or other industrial environments

• Familiarity with

SCADA data

• Experience with

IoT data

or connected device ecosystems

• Experience supporting cross-functional teams in a fast-growing department
• Exposure to Azure-based data or machine learning environments