Senior Analyst - Machine Learning, Python

Job Description

Job Overview:

Pay Range: $55hr - $60hr

Responsibilities:

Model Development & Optimization Build, train, and deploy machine learning models using Python, TensorFlow, and other ML frameworks.

Optimize models for accuracy, scalability, and performance.

Data Analysis & Insights Analyze large structured and unstructured datasets to identify trends, patterns, and anomalies.

Apply statistical and predictive modeling techniques to generate business insights.

Collaboration & Stakeholder Management Work closely with cross-functional teams (engineering, product, business) to translate requirements into ML solutions.

Present findings and recommendations to stakeholders in clear, actionable formats.

Quality & Standards Ensure adherence to coding standards, documentation, and reproducibility of ML pipelines.

Conduct model validation, testing, and monitoring to maintain reliability.Qualifications Education:

Bachelor’s or master’s in computer science, Data Science, Statistics, or related field.

Experience: Minimum 5+ years in machine learning, data science, or advanced analytics.Technical Skills:

Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).

Experience with SQL, data visualization tools (Power BI, Tableau). Knowledge of cloud platforms (AWS, Azure, GCP) for ML deployment.

Familiarity with NLP, deep learning, and big data frameworks (Spark, Hadoop) is a plus.Desired Competencies:

Strong problem-solving and analytical skills.

Ability to communicate complex technical concepts to non-technical stakeholders.

Experience in agile development and working with distributed teams.

Passion for continuous learning and staying updated with ML/AI advancements.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.