Data Scientist

Cotality • San Diego, CA

39d

About The Position

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: What is the role? Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineer or Storage Engineer. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.

Requirements

• Some background or previous roles in a data driven business working in database/BI/ analytics teams
• 1-3 years commercial experience preferred, delivering projects to time lines and to external clients
• 1-3 years experience building predictive analytics and working with data in SQL and R / python

Nice To Haves

• Exposure or experience working in a cloud platform (AWS, GCP, Microsoft Azure) including moving data around the cloud and working in remote computing environments

Responsibilities

• Delivery and throughput of functioning software/project work in agreed time lines and budget
• Achieving acceptable levels of accuracy or performance benchmarks on measurable statistical models
• Ensure all corporate systems are kept up to date as defined by manager – such as JIRA, Tempo TimeSheets, ADL.
• Attend and complete all mandatory training programs
• Completion of tasks/projects by the required timeframe
• Completion of analytical projects within the estimated costs
• Number of BAU analytic outputs run monthly/quarterly
• Meeting SLA’s to for trouble shooting and issues resolution
• Revenue generated through the delivery of Analytical outputs

Benefits

• 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!

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed