Lead Data Scientist | Greenwood Village | ClearChoice Dental Implant Centers

Careers at ClearChoice

Join the ClearChoice Greenwood Village Team

Lead Data Scientist | Greenwood Village

Location

Greenwood Village, CO

Type

Full Time

Department

Information Technology

Experience

Experienced

Company Overview

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 are searching for individuals who can help us continue pursuing our goal of reaching prospective patients and transforming their lives.   When you join ClearChoice, you are joining a team of individuals with passion, conviction, and integrity whose mission is to be the platform of hope for our patients.  Come help us write the next chapter of our story!

Position Summary

ClearChoice is seeking a Lead Data Scientist to lead a technical team and help us gain useful insight out of raw data.This is a high impact and high visibility role communicating with stakeholders across the organization to tackle strategic problems with a direct impact on the company’s growth. You will be working closely with data engineers and data analysts to implement modeling solutions in support of Marketing, Sales and Corporate Strategy. Lead Data Scientist responsibilities include managing the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. Provided you’re able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our business decisions by making the most out of our data.

 

Duties/Responsibilities

  • Lead MLOps functions focused on streamlining the process of taking machine learning models to production, and then maintaining and monitoring them. Establish and maintain coding and ML standards, source control, and testing processes. 

  • Conceive, plan and prioritize data projects aligned with organizational goals. Communicate the impact of data science contributions toward optimization of revenue. Provide development roadmaps that address key issues in growth and operations.

  • Engage cross-functionally with business SMEs, analysts, data engineers, architects, to design and deliver advanced analytic solutions. Contribute to data environment design discussions.

  • Advance the performance of predictive models through iterative experimentation with data and methodologies. 

  • Make model results actionable contributing to the integration of results within CRM and BI platforms. Expose forecasts along with prescriptive details.  

  • Create data visualizations and present key insights to both technical and non-technical audiences including presenting predictions and other analytical outcomes.

Required Experience and Skills

  • BS degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Data Science, Economics, Physics (Masters preferred).

  • Excellent written and verbal communication skills. Telling a compelling story with data.

  • Highly motivated self-starter with experience producing high quality data deliverables and able to work independently and in a team environment.

  • Strong attention to detail, excellent organizational skills, and ability to manage multiple projects and responsibilities.

  • Ability to anticipate changes and impacts with a strong desire to uphold best practices.

  • 3+ years of demonstrated experience with utilizing machine learning to optimize business outcomes including detailed experience with machine learning methods, design, build, testing, and implementation.

  • Demonstrable experience SQL, and R or Python to manipulate data, explore datasets.

  • Understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics.

Additional knowledge & skills

  • Experience building analytics solutions within the Google Cloud Platform suite including BigQuery, Colab, and Vertex AI.  

  • Ability to tell stories using data.

  • Skilled using MLOps processes to create and evolve machine learning models.

  • Familiar with work management tools such as Jira.

  • Experience working with or creating data architectures

Salary range $120l – $140k DOE

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