Reward & Equity Consultant - Associate

About the role

Vialto Partners is seeking a dynamic and experienced Data Scientist to join our team. This role will focus on developing and implementing advanced analytics solutions to drive business insights and strategic decision-making.

Responsibilities

• Design and execute data-driven experiments to validate hypotheses and improve product performance.
• Collaborate with cross-functional teams to gather requirements, design solutions, and implement data models.
• Develop and maintain scalable machine learning models using Python and other relevant tools.
• Conduct exploratory data analysis to uncover patterns and trends in large datasets.
• Present findings and recommendations to stakeholders in clear and actionable formats.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience in data science, machine learning, or a similar field.
• Proficiency in Python, R, and SQL.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong analytical skills and ability to interpret complex data sets.
• Excellent communication and collaboration skills.

Qualifications

• Passionate about using data to solve real-world problems.
• Ability to work independently and as part of a team.
• Knowledge of cloud platforms like AWS or Google Cloud.
• Experience with deep learning frameworks like TensorFlow or PyTorch.

Skills

• Python programming
• Machine Learning
• Data Visualization
• Cloud Platforms (AWS, Google Cloud)
• Deep Learning Frameworks (TensorFlow, PyTorch)

Benefits

• Competitive compensation and performance-based bonus programs.
• Well-being support including community building through ERGs and local impact initiatives.
• Flexible work arrangements—options for in-person, hybrid, and remote work.
• Mentorship and development opportunities with access to senior leadership.
• Industry-leading technical learning and leadership development programs.

Pay

Compensation is commensurate with experience.

Schedule

The role is full-time and based in our office in [City, State].