Careers at ClearChoice

Join the ClearChoice Greenwood Village Team

Manager of Data and Analytics | Greenwood Village


Greenwood Village, CO


Full Time





About the job

Named to The Denver Post Top 150 Workplaces In Colorado list, ClearChoice was founded in 2005 to bring an innovative and patient-focused approach to solve gaps within the dental industry. We’ve experienced strong growth and today, we’re the leader in dental implant treatments. Driven by a collective desire to improve the lives of our prospective patients, we help them reclaim their health and confidence. Beyond restoring teeth, this is about getting their lives back.


This mission-focused work has enabled us to achieve four straight years of double-digit company growth, yet we’ve only reached 1% of the population that needs our services. We’re now at a point that we need to revolutionize our marketing approach just as we did our treatment approach. We need marketing innovators and thought leaders to continue pursuing our goal of reaching prospective patients and transforming their lives.


When you join the ClearChoice team, you take on a highly visible role that fuels the growth of the entire organization. Your passion, creativity, and grit are supported by a robust marketing budget, partnerships with leading agencies and consultants, and a growing group of talented marketing professionals as we write the next chapter of our story. We are data-driven and results focused; you should be too! If the idea of challenging the status quo, investigating your own theories, and hunting for business breakthroughs is what gets you up in the morning, this might be the perfect next step in your career.


Position Summary

As the Manager of Data and Analytics, you will be responsible for partnering with business units across the company to promote data-driven solutions. You will oversee a team of Analysts and Data Scientists as they find new sources of data, discover hidden patterns, create insightful variables and develop a variety of machine learning models to guide business decisions. In addition to managing the Data and Analytics team you will also be a valuable contributor in the Data Science space. You will be required to translate business problems into ML problems, train, validate, deploy and monitor said models using a ML Ops framework in a cloud or local environment. 


The role includes significant internal consulting / client facing work comprised of:

  • Working with business leaders and stakeholders to understand stakeholders’ business problem, context, data sources, potential risk and constraints.
  • Problem solve with business leaders to translate the business program into a solvable Data Science or Analytics problem, formulate different approaches, outline pros and cons for each approach
  • Work with business leaders to get feedback, get alignment on approaches, deliverables, and overall timeline
  • Perform data cleaning/hygiene, data QC, and integrate data from both internal and external data sources 
  • Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings
  • Create insightful and/or predictive summary variables from granular-level data
  • Develop, validate, and cross-validate predictive models and/or machine learning algorithms using Advanced Data Science techniques and tools
  • Document predictive models / machine learning results that can be incorporated into client-deliverable documentation
  • Document key insights, recommend actions, and quantify business impact

Required Experience and Skills

  • Master’s degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering
  • 3+ years of Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimization
  • Experience with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)
  • Experience with structured or unstructured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)
  • Comfortable with cloud-based platforms (AWS, Azure, Google)
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