Senior Data Scientist

enArchAI • Contract • Remote (United States) • $70 / hour • 1w ago

Position: Senior Data Scientist
Job Type: Contract
Location: Remote (PST Time Zone)
Rate: Competitive / hr. W2 or C2C
Experience: 15+ years

Role Synopsis:
The Senior Data Scientist will lead the development and deployment of advanced data science and machine learning solutions for a utility’s Enterprise Data Science & AI organization. This role requires end-to-end delivery experience, with a strong focus on computer vision models to improve, accelerate, and automate asset inspection processes. The individual will work closely with cross-functional teams including data engineers, machine learning engineers, and business subject matter experts to translate complex data into actionable insights and data products that deliver measurable business value.

Must-Have Requirements:

Minimum 15 years of professional experience in data science, machine learning, or related fields.
Strong hands-on experience developing computer vision models, including data labeling, model training, evaluation, and deployment. A detailed write-up of computer vision project experience is required.
Expertise in Python and R for feature engineering, model building, and data analysis.
Solid understanding of statistics, mathematical modeling, and machine learning algorithms.
Experience with software engineering principles and building reproducible, production-ready models.
Strong ability to synthesize complex information into clear insights and actionable recommendations.
Experience mentoring and coaching other data scientists in advanced data science and AI/ML techniques.
Familiarity with data extraction, transformation, and loading (ETL) from disparate sources.

Key Responsibilities:

Lead technical efforts for computer vision model development, from data preparation to training, evaluation, and deployment.
Collaborate with business stakeholders to understand context, define objectives, and scope modeling work that delivers tangible business value.
Develop reproducible predictive models using data science and machine learning best practices.
Act as a peer reviewer of models and analyses developed by other data scientists.
Create clear, comprehensive documentation for models, experiments, and methodologies.
Present findings, insights, and recommendations to technical and business stakeholders, including executives.
Build and maintain strong relationships with cross-functional teams and external partners.
Apply statistical and mathematical expertise to optimize model performance and robustness.
Mentor, coach, and guide career-level data scientists in AI/ML and computer vision methodologies.

Preferred Qualifications (Optional):

Experience with cloud-based data science tools, particularly AWS services such as S3, GroundTruth, and SageMaker.
Hands-on experience in deploying machine learning pipelines in production environments.
Experience with utility industry datasets and asset management processes.
Advanced degree (Master’s or PhD) in Data Science, Machine Learning, Computer Science, Engineering, Mathematics, Applied Sciences, or related fields.

Soft Skills:

Strong analytical and problem-solving abilities with systems-thinking mindset.
Exceptional communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
Collaborative mindset, able to work effectively across cross-functional teams.
Leadership presence to guide technical direction and mentor team members.
Curiosity and passion for continuous learning and applying innovative solutions.

Job Type: Contract