Senior Data Scientist

BRIGHTMOVE INC.
Orlando, United States of America
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 180K

Job location

Orlando, United States of America

Tech stack

Amazon Web Services (AWS)
Data analysis
Artificial Neural Networks
Azure
Big Data
Cloud Computing
Databases
Information Engineering
Data Integrity
Distributed Computing Environment
R
Monitoring of Systems
Statistical Hypothesis Testing
Data Intelligence
Python
Machine Learning
NoSQL
Pattern Recognition
SQL Databases
Data Processing
Google Cloud Platform
Information Technology
Statistics Packages
Non-relational Database

Job description

Are you ready to transform raw data into strategic business intelligence? We're seeking a Senior Data Scientist who thrives on uncovering hidden patterns, building predictive models, and driving measurable business impact. In this role, you'll collaborate with cross-functional teams to identify data-driven solutions that enhance our products, optimize operations, and unlock new revenue streams. If you're passionate about turning complex datasets into actionable insights and mentoring the next generation of data scientists, we want to hear from you., * Partner with stakeholders across the organization to identify high-impact opportunities for data-driven innovation and business transformation

  • Extract, analyze, and interpret complex data from enterprise databases to optimize product development, marketing effectiveness, and operational efficiency
  • Champion data science initiatives by identifying emerging opportunities and presenting compelling insights to executive leadership
  • Collaborate with the Reporting & Analytics team to enhance measurement capabilities through advanced statistical modeling and analysis
  • Design and deploy sophisticated data models and algorithms tailored to business challenges (customer relationship optimization, performance pattern analysis, etc.)
  • Leverage predictive analytics to enhance customer engagement, maximize revenue potential, refine targeting strategies, and improve key business metrics
  • Establish robust monitoring systems to track model performance, ensure data integrity, and maintain analytical excellence
  • Provide mentorship and technical guidance to junior data scientists, fostering a culture of continuous learning and innovation

Requirements

Do you have experience in Technical Proficiency?, Do you have a Bachelor's degree?, * Exceptional analytical and problem-solving abilities with a focus on product innovation and business impact

  • Proficiency in statistical programming languages such as Python, R, SQL, or similar tools for data manipulation and exploratory analysis
  • Hands-on experience with relational and non-relational database systems (SQL and NoSQL)
  • Deep understanding of machine learning methodologies including clustering algorithms, decision trees, neural networks, and ensemble methods, with knowledge of their practical applications and limitations
  • Advanced expertise in statistical analysis, including regression modeling, probability distributions, hypothesis testing, and experimental design
  • Strong communication skills-both written and verbal-with the ability to translate complex findings for diverse audiences and lead cross-functional initiatives
  • Intellectual curiosity and commitment to staying current with emerging technologies and industry best practices
  • Travel capability: Up to 10% domestic and/or international travel as needed, * Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative discipline (Master's degree preferred)
  • Minimum 5+ years of professional experience in data science, statistical modeling, or related analytical roles
  • Demonstrated track record building, deploying, and optimizing statistical models in production environments, * Experience with big data technologies and distributed computing frameworks
  • Familiarity with cloud platforms (AWS, Azure, GCP) and data engineering practices
  • Published research or contributions to open-source data science projects
  • Experience in mentoring or leading analytics teams

Physical Requirements

This position requires the ability to perform the following physical activities:

  • Extended periods of sitting at a workstation
  • Occasional standing, walking, and stair climbing
  • Periodic reaching and arm extension
  • Occasional lifting or moving of light materials

Benefits & conditions

Pulled from the full job description

  • Paid parental leave
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Health savings account, We invest in our people with a comprehensive benefits package designed to support your health, financial security, and work-life balance:
  • Comprehensive Medical, Dental, and Vision Coverage
  • Health Savings Account (HSA) & Flexible Spending Account (FSA)
  • Fertility Support & Family Planning Benefits
  • Paid Parental Leave & Adoption Assistance Program
  • Flexible PTO for Exempt Employees; Up to 15 PTO Days in Year One for Non-Exempt Employees
  • 11 Paid Holidays Annually
  • 401(k) Retirement Plan with Immediate Employer Match & Roth Option
  • Employee Wellness Programs & Corporate Fitness Initiatives
  • Employee Resource Groups & Professional Development Opportunities
  • Voluntary Benefits & Additional Perks

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