Data Scientist

• Job ID:

J55314

• Job Title:

Data Scientist

• Location:

Portland, OR

• Duration:

12 Months + Extension

• Domain Exposure:

Utilities/ Energy

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

• Work Authorization:

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Scientist

Location: Portland, OR

Duration: 12 Months + Extension

Bill Rate: $80/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

The Data Scientist will analyze large and complex datasets to identify patterns, develop predictive models, and deliver data-driven business solutions. This role requires a combination of statistical expertise, programming skills, and machine learning knowledge to solve real-world business problems.

The candidate will work closely with data engineers, analysts, and business stakeholders to transform raw data into actionable insights. Experience with Python, SQL, predictive analytics, and cloud-based data platforms is essential.

Statistical Analysis & Predictive Modeling:

• Perform exploratory data analysis (EDA) to identify trends, correlations, anomalies, and patterns within structured and unstructured datasets.
• Develop predictive and statistical models using regression, classification, clustering, and forecasting techniques.
• Apply supervised and unsupervised machine learning algorithms to solve business problems.
• Perform feature engineering, model training, validation, and hyperparameter tuning.
• Conduct hypothesis testing, A/B testing, and statistical experiments to evaluate model performance.
• Measure model accuracy using appropriate evaluation metrics and continuously improve model effectiveness.

Advanced Modeling & Research:

• Apply supervised, unsupervised, and reinforcement learning techniques to large-scale datasets.
• Develop deep learning solutions using PyTorch, TensorFlow, and Scikit-learn.
• Perform feature engineering, statistical analysis, hypothesis testing, and model validation.
• Work with NLP, computer vision, time-series forecasting, and advanced analytics.
• Evaluate emerging algorithms and research methodologies to improve model accuracy and scalability.
• Design A/B testing and experimentation frameworks to measure model effectiveness.

Production AI & Data Science Platforms:

• Build scalable data processing pipelines using Python, SQL, Apache Spark, and PySpark.
• Deploy and manage machine learning models using MLflow, Databricks, or cloud-based ML platforms.
• Implement MLOps practices covering model versioning, CI/CD, monitoring, and lifecycle management.
• Work with AWS, Azure, or Google Cloud for model training and deployment.
• Explore LLMs, Generative AI, RAG architectures, and fine-tuning techniques for enterprise use cases.
• Ensure model explainability, data quality, governance, and responsible AI practices.

Technical Leadership & Qualifications:

• 10+ years of experience in Data Science, Machine Learning, Advanced Analytics, or AI engineering.
• Strong proficiency in Python, SQL, statistical programming, and machine learning algorithms.
• Advanced experience with PyTorch, TensorFlow, Scikit-learn, and distributed data processing.
• Proven ability to take ML models from research and experimentation through production deployment.
• Experience with MLOps, cloud platforms, model monitoring, and enterprise data environments.
• Strong understanding of statistics, probability, optimization, and mathematical modeling.
• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline preferred.
• Excellent technical leadership, communication, mentoring, and stakeholder management skills.

Preferred Expertise:

• Experience with Generative AI, LLM fine-tuning, NLP, and Transformer architectures.
• Knowledge of Apache Spark, Databricks, MLflow, and large-scale feature engineering.
• Research publications, patents, conference presentations, or open-source contributions are a plus.

Equal Opportunity

Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.

We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.