Principal Data Scientist

Role Information:

• Job Title: Principal Data Scientist
• Work Location: Fully remote position, home office
• Employment Type: Full-time
• Employment Status : Exempt, salaried
• Visa sponsorship is not available for this position.
• Must reside in the United States.
• We are not accepting applicants for remote workers in California, Illinois, and New York at this time.

Compensation:

• $173,330 - $201,043 per year- based on number of years of experience

Role Overview:

The Principal Data Scientist is responsible for leading the design, development, and deployment of advanced data science and AI-driven solutions that deliver measurable business value. This role combines deep technical expertise in machine learning, artificial intelligence, statistical modeling, and data mining with strong collaboration and strategic insight to solve complex problems across embedded systems, applications, and platforms.

The Principal Data Scientist will define project requirements, partner with engineering, product, and business stakeholders to translate objectives into high impact analytics initiatives and serve as the primary subject matter expert in AI and advanced analytics. Leveraging applied mathematics, predictive modeling, and generative AI techniques, this role drives innovation, uncovers actionable insights, and creates new opportunities within strategic accounts and the broader marketplace.

Key Responsibilities:

• Lead the design, development, training, and deployment of machine learning and AI models to process, analyze, and derive insights from field equipment sensor data (e.g., time-series IoT, embedded device telemetry) alongside structured/unstructured datasets.
• Build and optimize predictive, prescriptive, and anomaly detection models using advanced ML techniques (e.g., regression, time-series forecasting, deep learning) to enable real-time or near-real-time decision-making from sensor streams and other data sources.
• Integrate AI into end-to-end workflows, including automated data ingestion, feature engineering, model training pipelines, inference at the edge or cloud, and continuous monitoring for drift/performance degradation.
• Perform exploratory data analysis (EDA), preprocessing, and feature extraction on high-volume, noisy sensor data and multimodal natural datasets to uncover patterns, correlations, and actionable insights.
• Collaborate with engineering, product, and domain experts to translate business problems (e.g., predictive maintenance, fault detection, optimization) into data science/AI solutions that deliver measurable impact.
• Apply statistical modeling, causal inference, and experimentation (A/B testing, hypothesis testing) to validate models and ensure robustness in dynamic, real-world environments involving sensor and operational data.
• Champion AI-driven innovation by exploring emerging techniques (e.g., generative AI for synthetic sensor data, edge AI optimization, multimodal fusion) and incorporating them into production workflows.
• Establish reproducible, scalable ML pipelines (MLOps practices) for model versioning, retraining, deployment (including edge/embedded constraints), and lifecycle management.
• Communicate complex technical findings, model performance, and business value to stakeholders through clear visualizations, reports, and presentations to drive data-informed strategic decisions.
• Responsible for formulating, suggesting, and managing data-driven project requirements against business needs related to strategic company goals.
• Data cleansing and collation to ensure models are both accurate and reliable.
• Solve complex technical challenges focused on analytical tool sets for decision making.
• Assume responsibility for subject matter expertise for analytical tools on cross functional product development teams.
• Work closely with software and business development teams to maximize revenue opportunities associated with Data Science initiatives and enhancement of products and services and related to data interpretation.
• Assist and support internal resources involved in research, product development, and ongoing production of data analytics.

Required Qualifications:

• 8+ years of experience as Data Scientist or similar role
• 8+ years of professional experience in data science/ML roles, with at least 5 years focused on AI/ML modeling for time-series/sensor/IoT data or similar high-velocity, real-world datasets.
• Minimum of Bachelor of Science in Mathematics, Applied Statistics, Data Science Process Engineering, or Computer Science
• Proficiency in Python, Mathematica , or similar
• Advanced statistical modeling, hypothesis testing, causal inference, experimental design (A/B testing), and evaluation metrics for robust, interpretable models
• Proficiency in C, C+, C++, C#, Java , a variety of data bases such as SQL , MongoDB ,
• Deep experience building, training, fine tuning and deployment of machine learning and deep learning models using frameworks such as PyTorch
• Hands-on experience integrating AI into end-to-end workflows, including feature engineering, modeling training pipelines, inference (cloud and edge) and real time/near real time applications
• Excellent problem-solving, critical thinking, and ability to translate complex technical concepts into business impact and stakeholder recommendations.

Preferred Qualifications:

• Masters in Applied Mathematics, Applied Statistics, or Data Science
• Experience with Machine health data sets
• Expertise in domain-relevant applications such as predictive maintenance, fault detection, optimization, and condition monitoring using ML on sensor streams.
• Proven ability to handle high-volume, noisy, streaming sensor data (IoT telemetry, embedded systems, industrial sensors) including preprocessing, feature extraction from time-series/multimodal data, and handling issues like missing values, drift, or irregularity.
• Experience in the Industrial industry, mainly Power or Oil and Gas

Other Qualifications:
Successfully pass background check for cybersecurity access requirements

Cybersecurity Role Expectations:

• Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.
• Candidate is expected to maintain a cybersecure work environment.

Physical Requirements:

• Must be able to sit and stand for extended periods of time.
• Must be able to use hands to type, handle products, tools and navigate a computer keyboard.
• Must be able to view computer screen for extended periods of time.
• Specific vision abilities required by this job include close vision and distance vision

​​​​​​​ Benefit s:

• Paid Time Off
• Medical, Vision, Dental Insurance
• Health Savings Account with Employer contributions
• 401(k) with Employer match
• Short-term & Long-term Disability Coverage
• Accidental Death & Dismemberment Coverage
• Life Insurance Coverage
• Eight paid holidays per year
• All other benefits required by applicable law

Alignment with Corporate Values

All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.

• Learn more about Cutsforth here: Cutsforth.com/About


• Read our Mission & Values here: Cutsforth.com/Values

Equal Employment Opportunity Statement:

Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.

For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants