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Data Scientist (Remote)

Maximus
Remote, USA
Full-time
Mid · 3+ years experience
Remote
Discovered 1 months ago
Scikit-learnPyTorchTensorFlowKerasCNNGAN

Full Job Posting

Description & Requirements

  • ⚖️ Flexibility That Fits Your Life – Work/life balance support with flexibility designed to meet your personal and professional needs.
  • 🏥 Robust Health & Insurance Benefits – Choose from a variety of Medical, Dental, Vision, and
  • Prescription plans, plus a partially funded HSA. You’ll also have access to Life Insurance and discounts on Auto, Home, Renters, and Pet Insurance.
  • 💰 Build Your Financial Future – Take advantage of our 401(k) Retirement Savings Plan with Company Match to help you plan for what's ahead.
  • 🌴 Generous Time Away From Work – Recharge with PTO, paid holidays, extended sick leave, and Short and Long Term Disability coverage.
  • 💙 Wellness Beyond the Workplace – Access resources that support your physical, emotional, and financial well-being through our Employee Assistance Program (EAP).
  • 👏 Recognition That Matters – Celebrate achievements and recognize colleagues through our employee recognition platform.
  • 🎓 Invest in Your Growth – Continue your education and professional development with Tuition Reimbursement opportunities.
  • 🎁 Employee Discounts & Perks – Enjoy exclusive savings, special offers, and additional employee-only benefits.
  • 🌿 Wellness Programs & Resources – Explore a variety of programs and tools designed to support your overall health and wellness.
  • 📈 Career Development Opportunities – Enhance your skills through training programs, workshops, conferences, and ongoing learning opportunities.
  • 📜 Licensure & Certification Support – Maximus covers the costs associated with renewing required licenses and certifications.
  • Essential Duties and Responsibilities:
  • - Perform hands-on data analysis and modeling with huge data sets.
  • - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
  • - Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
  • - Discover data sources, get access to them, import them, clean them up, and make them “model-ready.”
  • - Create and refine features from the underlying data.
  • - Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
  • - Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

Minimum Requirements

  • - Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
  • - Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
  • - 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
  • - 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
  • - 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
  • - 1+ years programming skill in Python, Scala, or Julia.
  • - Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
  • - Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus.
  • - Experience working in an agile delivery model a plus.
  • - Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
  • - Ability to communicate complex ideas in a clear, precise, and actionable manner.
  • - Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners.
  • - PowerBI experience a plus.

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