Maximus

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.

- 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.

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews,—please contact People Operations at applicantaccom@maximus.com.