Data Science Lead

2 weeks ago

Denver, Colorado, United States REMAX Full time
Job Summary:

The Data Science Lead will spearhead the development and implementation of machine learning models and algorithms that drive business growth and results. This role requires a strong technical background and excellent communication skills to describe complex concepts clearly and concisely.

Key Responsibilities:
  • Develop and implement machine learning models and algorithms that deliver measurable business value
  • Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions
  • Evaluate model performance and make recommendations for model improvements and optimizations
  • Collaborate closely with other technical teams to integrate and deploy models
  • Stay updated on the latest developments in data science, machine learning, and AI technologies, and identify opportunities for innovation and improvement
  • Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
  • Create presentations that describe model results and recommendations to senior executives and other key stakeholders
  • Lead the technical aspects of projects, ensuring best practices, and maintaining high standards for code quality and analysis
  • Help foster a culture of innovation and continuous improvement, encouraging teammates to explore new approaches and technologies to solve complex data challenges
  • Oversee and evaluate the work of data scientists to ensure adherence to industry best practices
Requirements:
  • 4+ years of experience in data science and data engineering required
  • Bachelor's degree in Computer Science, Math, Economics, or Statistics, OR data science boot camp or certification OR commensurate experience
  • Expert Python and SQL skills (Snowflake preferred)
  • Familiarity with one or more Python data science and/or statistics libraries (Pytorch, Scikit learn, Statsmodels)
  • Familiarity with one or more Python data visualization libraries (Bokeh, Matplotlib, Seaborn)
  • Advanced skills in probability and statistics
  • Experience with model implementation and monitoring
  • Excellent logical reasoning and attention to detail
  • Desire and capacity to learn about RE/MAX's business operations
  • Experience with AWS (S3, ECS, ECR, and EC2) and Docker required
  • Experience with Apache Airflow (AWS MWAA) and Apache Spark required
Physical Requirements:
  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
Travel Requirements:
  • Up to once a quarter
Compensation:

$90,000 - $114,000

Actual compensation offered to candidate will be finalized at offer and may be above or below the posted range due to skill level, experience, industry specific knowledge, education/certifications, or geographic location. The offer rate represents one component of the RE/MAX Holdings total compensation package. Employees will also receive a number of benefits as listed below. Other compensation for this position may include bonus eligibility.

  • Competitive Medical, Dental, and Vision benefits
  • Retirement plans with optimal company match
  • Annual bonus/merit opportunity
  • Educational Assistance
  • Medical Health support program
  • M.O.R.E. Events offered in-person and virtually
  • Mentorship program
  • Employee Resource Groups
  • Community Engagement
  • Diversity, Equity, and Inclusion
  • Parenting
  • Remote
  • Woman at RE/MAX

RE/MAX Holdings, Inc. is proudly headquartered in Denver, Colorado. Certain roles may be location specific, however in addition to Colorado, we welcome qualified candidates in the following states: Arkansas, California, Florida, Georgia, Illinois, Massachusetts, Michigan, Ohio, and Texas

RE/MAX Holdings, Inc. is proud to be an equal opportunity employer committed to diversity and inclusion, as well as non-discrimination in employment. All persons shall be afforded equal employment opportunity, and all qualified applicants receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, age, veteran status, disability unrelated to performing the essential task of the job or other legally protected categories. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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