Principal, Machine Learning Scientist
Cotality
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; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:
We are seeking a highly skilled hybrid-remote Principal Machine Learning Scientist with expertise in machine learning, data mining, and statistical modeling to join our dynamic team. As a Principal ML Scientist, you will play a crucial role in identifying and anticipating problems, exploring best practice alternatives, and implementing customized solutions. If you have a passion for analyzing complex data, generating forecasts, and driving innovative solutions, this is the perfect opportunity for you.
Job Responsibilities:
Conduct research to identify and anticipate problems, explore best practice alternatives, prepare presentations, drive solutions, perform testing, gain consensus from various business communities, and implement customized solutions.
Perform complex statistical analyses and comprehensive studies of real estate and mortgage-related data.
Utilize machine learning and data mining techniques to discover patterns in complex residential property data.
Generate forecasts and predictions based on modeling and analysis of multiple economic and human factors.
Develop and maintain programs and documentation for asset and asset risk models.
Apply various data mining, machine learning, statistical, and mathematical techniques for modeling and analysis.
Monitor and enhance existing models and prototypes, improving core models and aligning with group research objectives.
Independently lead and manage quantitative and qualitative research projects.
Evaluate and communicate research results to internal and external stakeholders.
Understand business requirements and conceptualize analytical solutions for addressing business problems.
Lead cross-functional teams to research, define, and implement analytic solutions within different business functions.
Troubleshoot complex problems, provide guidance to others, and drive effective solutions.
Offer pre-sales and post-sales analytic support to partners, prospects, and clients.
Analyze model performance for partners, clients, and prospects.
Job Qualifications:
Master's Degree in Computer Science, Data Science, Machine Learning, Economics, Mathematics, Statistics, Physics, or a related field.
Minimum of 7 years of industry or academic experience in machine learning techniques, data mining, statistical modeling, and/or pattern recognition model building for real-world problems.
Experience with Google Cloud Platform (GCP) or equivalent.
Proficiency in at least one programming language such as Python or R.
Experience developing LLM based analytical products
Strong expertise in big data technologies, such as Spark, Hadoop, Hive, etc.
Team player with the flexibility to contribute to projects as needed.
Detail-oriented with excellent presentation skills and experience in client interaction. Ability to effectively communicate business needs to technical personnel.
Solid interpersonal skills for clear verbal and written communication with partners, prospects, clients, and colleagues.
Proven ability to manage multiple complex projects simultaneously.
Expertise in formulating business problems and designing analytical approaches.
Effective presentation of analytic insights and modeling techniques internally and externally.
Recognized as a technical expert, significant contributor, and strong leader within the company and the industry.
Preferred Qualifications:
Ph.D. in Computer Science, Data Science, Machine Learning, Economics, Mathematics, Statistics, Physics, or a related field.
Experience building imagery or text models.
#LI-Hybrid
Annual Pay Range:
148,800 - 160,000 USDThrive with Cotality
At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.
Highlights, depending on role classification, include:
Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
Health: Multiple medical plan options with mental health and wellness support offerings.
Retirement: 401(k) with company match and vesting after one year.
Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!
Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range
Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.
Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
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