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

4+ years of experience in data analytics and machine learning.
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.
Proficiency in Python for data analysis, including libraries such as Pandas, NumPy, and Scikit-learn.
Strong skills in SQL for data retrieval and manipulation.
Excellent communication skills to present complex insights to non-technical stakeholders.
Experience with MLOps frameworks (e.g., MLflow, Kubeflow) and cloud platforms like Azure ML (preferred), AWS, or GCP.
Experience in explainable AI (XAI) is preferred
Strong problem-solving skills in business processes
Understanding of big data technologies like Apache Spark or Hadoop is preferred

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsmachine learningstatistical analysislinear algebradata analysisPythonSQLMLOpsbig data technologiesexplainable AI

Soft Skills

communicationproblem-solving