Senior Data Scientist - Time-Series & IoT Insights, Remote

Motion LLC; Columbus (OH); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Motion LLC is seeking a Senior Data Scientist in Columbus, OH, or remote, to develop predictive models from industrial telemetry into actionable insights. The ideal candidate should have 6-8+ years of experience in data science, strong proficiency in Python, SQL, and statistical modeling, alongside a deep understanding of time-series data. You'll collaborate with engineering and product teams to define data requirements and translate models into customer-facing features. A proactive attitude and strong communication skills are essential for this high-impact role.

Qualifications

• Proven experience building predictive models and extracting actionable signals from massive datasets.
• Deep mathematical understanding of signal processing, anomaly detection, and forecasting.
• Expert level skills to explore 'Big Data' scales and partitioned datasets.
• Expert proficiency in Python and the standard data science stack.
• Experience taking models from a notebook into a production environment.
• Working knowledge of modern cloud data tooling.
• Ability to define business logic for clean data schemas.

Responsibilities

• Develop models to predict equipment failure, energy spikes, or operational bottlenecks.
• Apply statistical techniques to filter out sensor noise and identify key events.
• Define schemas, latency requirements, and data landing zones for analysis.
• Identify missing data points to enhance AI and BI layers' effectiveness.
• Partner with UI Engineers to ensure meaningful trends in dashboards.

Skills

Statistical Modeling & Analysis

Time-Series Mastery

Advanced SQL

Python Mastery

MLOps Mindset

Cloud & Data Platform Fluency

Experimental Design

Education

6-8+ Years of Data Science

Tools

Pandas

NumPy

Scikit-learn

SciPy

Snowflake

BigQuery

Athena

Job description

Motion LLC is seeking a Senior Data Scientist in Columbus, OH, or remote, to develop predictive models from industrial telemetry into actionable insights. The ideal candidate should have 6-8+ years of experience in data science, strong proficiency in Python, SQL, and statistical modeling, alongside a deep understanding of time-series data. You'll collaborate with engineering and product teams to define data requirements and translate models into customer-facing features. A proactive attitude and strong communication skills are essential for this high-impact role.