Data Scientist

World Wide Technology; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled Data Scientist to join their dynamic team. This exciting role involves leading the development of innovative computer vision models to enhance asset inspection processes. You will engage with business stakeholders to understand their needs, apply advanced data science techniques, and deliver impactful solutions. The position offers a unique opportunity to work on diverse projects, from predictive modeling to optimizing resource portfolios. If you have a passion for data science and a desire to make a real difference, this role is perfect for you!

Qualifications

• 4+ years of experience in data science, or 2+ years with a master's degree.
• Strong background in Python programming and machine learning.

Responsibilities

• Lead development of computer vision models for asset inspections.
• Collaborate with stakeholders to deliver data science products.

Skills

Python programming

Computer vision models

Data science standards

Machine learning techniques

Statistical analysis

Education

Bachelor’s degree in Data Science or related field

Master’s degree in Data Science or related field

Tools

AWS (S3, GroundTruth, Sagemaker)

Job description

World Wide Technology is looking for a Data Scientist. This job is part of WWT’s Strategic Resourcing services. The candidate will be supporting a WWT customer and will be employed by one of WWT’s preferred partners.

Role: Data Scientist

Location: Remote

Duration: 12 Months +

Required Skills:

• Developing computer vision models that improve, accelerate, and automate asset inspections processes
• Strong Python programming

Department Overview:

The Data Science & Artificial Intelligence Department consists of a “Delivery” team that develops data science and machine learning solutions and a “Center of Excellence” team that supports other practitioners in an enterprise-wide Hub & Spoke analytics adoption model.

This team works on a wide variety of difficult problems, offering great variety in the work and constant opportunity to explore and learn. Current and past engagements include:

• Creating wildfire risk models that are used by regulators and the utility to prioritize asset management
• Developing computer vision models that improve, accelerate, and automate asset inspections processes
• Predicting electric distribution equipment failure before it occurs, allowing for proactive maintenance
• Forming the analytical framework behind Transmission Public Safety Power Shutoff
• Optimizing non-wires alternative resource portfolios, like the Oakland Clean Energy Initiative
• Analyzing customer demographic, program participation, and SmartMeter interval data to build program targeted propensity models
• Identifying and investigating anomalous customer natural gas usage to resolve dangerous customer side leaks

Position Summary:

Looking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the successful candidate will lead the development of computer vision models to improve, accelerate, and automate asset inspections processes, participating in the full lifecycle of the delivery process from initial value discovery to model-building to building data products to deliver value to end users.

• Leads conversations with business stakeholders and subject matter experts to understand business context
• Scopes and prioritizes modeling work to deliver business value
• Applies data science, machine learning, and other analytical modeling methods to develop defensible and reproducible predictive models
• Serves as the technical lead for the development of computer vision models, leading data labeling, model training, and model evaluation
• Writes and documents Python code for data science (feature engineering and machine learning modeling) independently
• Documents and presents data science experiments and findings clearly to other data scientists and business stakeholders
• Acts as peer reviewer of models and analyses built by other data scientists
• Develops and presents summary presentations to business
• Presents findings and makes recommendations to officers and cross-functional management
• Builds and maintains strong relationships with business units and external agencies
• Works with cross-functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts

Education Minimum: Bachelor’s degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.

Education Desired: Master’s degree in one of the above areas.

Experience Minimum: 4 years in data science (or 2 years if possessing a master’s degree).

Knowledge, Skills, Abilities and (Technical) Competencies:

• Demonstrated knowledge of data science standards and processes
• Competency in software engineering, statistics, and machine learning techniques
• Hands-on and theoretical experience of data science/machine learning models and algorithms
• Ability to synthesize complex information into clear insights
• Competency in the mathematical and statistical fields that underpin data science
• Mastery in systems thinking and structuring complex problems
• Ability to develop, coach, and teach career-level data scientists
• Desired: experience building computer vision models
• Desired: experience with AWS technologies (S3, GroundTruth, Sagemaker)

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Information Technology

Industries: IT Services and IT Consulting