Data Scientist, Robert Half

Robert Half

Location:
United States, Houston

Category:
IT - Software Development

Contract Type:
Contract work

Salary:

Not provided

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Job Description:

We are looking for a skilled Data Scientist to join our team on a long-term contract basis in Houston, Texas. This role offers an exciting opportunity to work on innovative projects involving predictive modeling, machine vision, and anomaly detection to enhance safety and operational efficiency.

Job Responsibility:

Analyze structured and unstructured datasets to uncover patterns and generate actionable insights
Design, implement, and refine predictive models using Python-based machine learning libraries
Collaborate closely with stakeholders to identify business needs and align data-driven solutions with organizational goals
Develop and maintain efficient data workflows and pipelines, leveraging platforms like Databricks
Utilize data visualization tools to communicate findings effectively to both technical and non-technical audiences
Apply machine vision techniques to detect anomalies and optimize asset performance
Integrate sensor data, such as heat and vibration metrics, to enhance model accuracy
Work on diverse projects that span maintenance and risk prevention strategies
Participate in on-site stakeholder visits during the initial phase of the contract to ensure alignment and understanding.

Requirements:

At least 3 years of relevant experience as a Data Scientist
Solid background in Python and associated data science libraries such as Pandas, NumPy, and Scikit-learn
Familiarity with cloud platforms like Databricks or similar technologies (e.g., Spark, Azure)
Proven experience using data visualization tools such as Matplotlib, Seaborn, or Plotly
Knowledge of machine learning algorithms and their implementation in industrial or energy settings
Hands-on experience working with sensor data, including physical asset measurements like heat and vibration
Strong ability to translate business challenges into technical solutions
Bachelor's degree in a relevant field, with preference given to candidates with industry experience over purely academic backgrounds.

What we offer:

Medical, vision, dental, and life and disability insurance
401(k) plan
Competitive compensation
Free online training.

Additional Information:

Job Posted:
May 15, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data Scientist