Senior Machine Learning Scientist

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity, and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking.

About the role

This role combines deep technical expertise in machine learning with strategic thinking to drive innovation and solve challenging business problems through data-driven approaches.

Responsibilities

• Design, develop, and implement sophisticated machine learning models and algorithms to address complex business challenges.
• Lead research initiatives to explore cutting-edge machine learning techniques and methodologies.
• Analyze large, diverse data sets to identify patterns, trends, and insights that drive business value.
• Partner with cross-functional teams to understand business requirements and translate them into actionable technical solutions.
• Develop and optimize data processing pipelines for data preprocessing, feature engineering, model training, and evaluation.
• Evaluate and integrate new data sources to continuously enhance model performance and business insights.
• Continuously monitor production model performance and implement technical improvements as needed.
• Present complex findings, insights, and recommendations clearly to both technical and non-technical stakeholders.
• Mentor junior data scientists and machine learning engineers, providing technical guidance and driving knowledge sharing across the team.
• Create and maintain rigorous documentation for models, methodologies, and technical processes.

Requirements

• Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent work experience.
• 3+ years of relevant industry work experience.
• Strong programming skills in Python and extensive experience with machine learning frameworks and libraries (e.g., PyTorch, scikit-learn).
• Demonstrated expertise in developing, deploying, and maintaining machine learning models in production environments.
• Proven experience working with big data technologies and major cloud computing platforms (GCP, AWS, Azure).
• Strong foundational understanding of statistical analysis, experimental design, and hypothesis testing.
• Exceptional verbal, written, and listening skills with a demonstrated ability to communicate complex data insights clearly to diverse audiences.
• Excellent problem-solving skills with a proven track record of delivering results while working with ambiguous business requirements.
• Hands-on experience with distributed computing frameworks (e.g., Apache Spark, Ray, Dask, or Hadoop) to scale machine learning workloads and process massive datasets.

Pay

Annual pay range: 111,900 - 130,000 USD

Benefits

• Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
• Up to 16 weeks of fully paid parental leave and a baby stipend.
• Multiple medical plan options with mental health and wellness support offerings.
• 401(k) with company match and vesting after one year.
• $400 annual well-being stipend and tuition assistance up to $5,250.
• Recognition Rewards, Referral bonuses, exclusive discounts, and more.