Data Analytics and Machine Learning Engineer

October 22

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Aya Healthcare

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Aya Healthcare • Medical Staffing • Travel Nursing • Allied Staffing • VMS

5001 - 10000

Description

• Join Aya Healthcare, winner of multiple Top Workplace awards! • We are seeking an analytical, data and business-focused professional to join our software and product team. This role is centered on analyzing product hypotheses, validating insights through data, and developing features for machine learning models. As our application evolves to integrate new external data sources, you will play a key role in ensuring seamless data analysis and interpretation to support business decisions. • We’re a $10+ billion, rapidly growing workforce solutions provider in the healthcare industry. We deliver tech-enabled services that help healthcare organizations meet and manage their contingent labor needs. We build and manage tech-enabled marketplaces for national and local healthcare talent and deliver contingent labor management solutions through our proprietary software platform. • At Aya, we’re obsessed with creating exceptional experiences for our clients, clinicians and employees. In fact, we put employee satisfaction above all else. Our team members are responsible for incomparable customer experience and we know that happy employees are critical to maintaining happy clients. We foster an entrepreneurial, high-energy, low-bureaucracy culture and value innovative thinking and creative problem solving. We embrace diversity in thought and backgrounds unified by a commitment to high achievement. When you join Aya, you’ll be surrounded by teammates who care about you as an individual and leaders who will help you grow both personally and professionally. • Analyze and validate product team hypotheses by interpreting large-scale datasets, identifying trends, and generating actionable insights. • Conduct external data analysis by integrating and assessing new data sources, replacing legacy sources, and ensuring compliance with terms of service. • Extract and create features from datasets for machine learning models, driving predictive capabilities and enhancing product performance. • Collaborate with cross-functional teams to translate data-driven insights into business recommendations that guide product decisions and strategy. • Apply advanced statistical analysis, linear algebra, and modeling techniques to large datasets, providing deep, actionable insights. • Perform large-scale data analysis comfortably using tools such as Python and SQL. • Work with Azure Machine Learning for model training and deployment, leveraging cloud capabilities to enhance data analysis workflows. • Participate in Scrum agile development process, focusing on iterative improvements through data-informed decision-making.

Requirements

• Strong data science background with expertise in statistical analysis, linear algebra, and machine learning models. • Proven experience in external data analysis, working with new data sources, and handling large-scale datasets. • 5+ years of experience in data analytics and machine learning. • Proficiency in Python for data analysis, including libraries such as Pandas, NumPy, and Scikit-learn. • Strong skills in SQL for data retrieval and manipulation. • Experience with Azure Machine Learning is a plus. • Ability to comfortably work with large data records as well as create features for machine learning models from complex datasets. • Strong problem-solving skills and a deep understanding of business processes to inform data-driven recommendations. • Excellent communication skills to present complex insights to non-technical stakeholders.

Benefits

• Free premium medical, dental, life and vision insurance • Generous 401(k) match • Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses • Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling • Celebrations! We hit our goals and reward ourselves. • Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday! • Unlimited DTO — we believe in time off! • Virtual yoga, meditation or boot camp classes offered daily