Data Manager
murmuration
PythonSQLTableau
Data Scientist
Invisible Technologies
contract
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $30 per hour
Job Level
JuniorMid-Level
Tech Stack
AWSCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSpark
About the role
- You’ll design and implement data science and machine learning solutions that blend cutting-edge research with practical deployment.
- Develop End-to-End Models: Design, train, and evaluate models for prediction, classification, optimization, or inference—taking projects from exploratory analysis through production deployment.
- Collaborate on Real-World Solutions: Partner with software engineers, analysts, and fellow data scientists to integrate data-driven models into scalable, deployable systems that operate in dynamic production environments.
- Client-Focused Problem Solving: Work closely with stakeholders to frame ambiguous problems, explore solution paths, and translate complex technical insights into clear, actionable recommendations.
- Explore, Iterate, Validate: Lead the exploration and analysis of large and diverse datasets using tools like Pandas, NumPy, and Spark to inform model design, evaluate performance, and identify opportunities for improvement.
- Research-Driven Innovation: Stay current with advances in statistics, machine learning, and data engineering practices—adapting new methods and technologies to deliver measurable impact on real-world problems.
Requirements
- 2+ years of hands-on experience building and deploying data science or machine learning models in production environments.
- Proven ability to take models from prototype to production using Python-based workflows.
- Experience engaging with technical and non-technical stakeholders to refine requirements and communicate results effectively.
- Strong proficiency in Python and commonly used ML/data libraries (Pandas, NumPy, scikit-learn, PyTorch, or similar).
- Experience working with large-scale datasets and distributed tools such as Spark.
- Comfort navigating cloud environments (e.g., GCP, AWS, or similar); Databricks experience is a plus.
- Solid understanding of statistical modeling, experimental design, model evaluation, and data debugging practices.
- Strong code hygiene — able to write clean, modular, and testable code in collaborative, version-controlled environments.
Benefits
- As a contractor you’ll supply a secure computer and high‑speed internet
- Company‑sponsored benefits such as health insurance and PTO do not apply
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemachine learningmodel designmodel trainingmodel evaluationPythonstatistical modelingexperimental designdata debuggingclean code
Soft skills
problem solvingcollaborationcommunicationstakeholder engagementanalytical thinkingadaptabilityinnovationexploratory analysisactionable recommendationsteamwork
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