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Data Science Analyst (Remote, NY)

Maximus
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We are seeking a curious, analytical, and solutions-oriented Data Science Analyst to join our team and support strategic and operational initiatives through data-driven insights. 

This role plays a key part in identifying opportunities for process improvement, operational efficiency, and business growth. The ideal candidate will be skilled in collecting, researching, and interpreting complex datasets to provide actionable recommendations. 

In this role, you’ll not only analyze performance metrics and customer behavior, but also monitor market trends and competitor strategies to drive meaningful improvements. Your ability to transform data into clear, impactful reports and presentations will support innovation and measurable results across the organization.

 

Why Join Maximus?

 

  • Work/Life Balance Support – Flexibility tailored to your needs
  • Competitive Compensation - Quarterly bonuses based on performance included
  • Comprehensive Insurance Coverage - Choose from various plans, including Medical, Dental, Vision, Prescription, and partially funded HSA. Additionally, enjoy Life insurance benefits and discounts on Auto, Home, Renter's, and Pet insurance
  • Future Planning - Prepare for retirement with our 401K Retirement Savings plan and Company Matching
  • Paid Time Off Package - Enjoy PTO, Holidays, and sick leave, along with Short- and Long-Term Disability coverage
  • Holistic Wellness Support - Access resources for physical, emotional, and financial wellness through our Employee Assistance Program (EAP)
  • Recognition Platform - Acknowledge and appreciate outstanding employee contributions
  • Tuition Reimbursement - Invest in your ongoing education and development
  • Employee Perks and Discounts - Additional benefits and discounts exclusively for employees
  • Maximus Wellness Program and Resources - Access a range of wellness programs and resources tailored to your needs
  • Professional Development Opportunities- Participate in training programs, workshops, and conferences

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
  • Collect, research, and analyze internal and external data to improve operations, processes, and quality
  • Identify and analyze industry/geographic trends and competitor market strategies and monitor current/potential customer trends
  • Work collaboratively to interpret, validate, and trend various datasets to present actionable opportunities for growth and improvement to internal and external customers, such as clients, operational and administrative leaders
  • Prepare reports and presentations routinely or as requested, update databases, maintain records and documentation, and regularly communicate trends and error rates

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 a 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

Preferred Requirements:

  • Master’s degree
  • Experience with data analysis
  • Strong investigative and critical thinking skills
  • Knowledge of health plans / insurance
  • Proficient computer skills
  • Well-organized and detail-oriented

Home Office Requirements:

  • Maximus provides company-issued computer equipment
  • Reliable high-speed internet service
  • Minimum 20 Mpbs download speeds/50 Mpbs for shared internet connectivity
  • Minimum 5 Mpbs upload speeds
  • Private and secure workspace