Data Scientist V

Are you passionate about transforming complex data into impactful insights? We’re on the lookout for a talented Data Scientist V to join our innovative team. The main function of a Ranking Data Scientist is to produce innovative improvements to machine learning models by leveraging exploratory data analysis from complex and high-dimensional datasets. If you thrive in a dynamic environment, excel at communicating complex ideas, and have a knack for working with large datasets, we want to hear from you. Join us and be at the forefront of data innovation!

Job Responsibilities

• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
• Leverage computer vision, feature extraction, and machine learning algorithms to determine the most important aspects that drive “shareability” of content.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Generate and test hypotheses, and analyze and interpret the results of product experiments.
• Work with product engineers to translate prototypes into new products, services, and features, and provide guidelines for large-scale implementation.
• Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
• Metric movement investigations for key recommendation products.
• Leadership reporting on a weekly basis.
• Experimentation review and analysis.
• Ad-hoc team and leadership data requests.
• Target audience – Identify target users for our products to inform the short-term and long-term strategy.
  
  

Skills

• Fluency with SQL and Python.
• Hands-on experience building models with PyTorch or TensorFlow libraries.
• Experience training and/or using computer vision models.
• The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
• Experience working with large datasets.
  
  

Education/Experience

• Master’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (PhD preferred).
• A minimum of 5 years of work experience in analytics.
  
  

Benefits

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
  
  

Additional Responsibilities

• Participate in OP monthly team meetings and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.
  
  

About Us

At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields, including AI, cybersecurity, enterprise architecture, and beyond. For nearly two decades, we’ve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.