Associate Principal - Data Sciences

Responsibilities

• Analyze large complex datasets to identify trends patterns and correlations using SQL and Python
• Develop and implement machine learning algorithms and models to solve business problems and optimize processes
• Build and train deep learning models for tasks such as image recognition natural language processing and recommendation systems
• Apply NLP techniques to extract insights from unstructured text data and develop text-based predictive models
• Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions
• Evaluate and implement cutting-edge technologies and algorithms to improve model performance and scalability
• Communicate findings and insights to stakeholders through clear and compelling data visualizations reports and presentations

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics or a related field
• Masters or PhD preferred
• Proven experience as a Data Scientist or similar role with a strong portfolio of successful projects
• Mandatory proficiency in SQL and Python for data manipulation, querying, and analysis
• Expertise in data manipulation libraries such as Pandas, NumPy, and Scikit-Learn
• Deep understanding of machine learning techniques and algorithms including supervised and unsupervised learning, regression, classification, clustering, and ensemble methods
• Hand-on experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
• Solid understanding of NLP concepts and experience with libraries such as NLTK, spaCy, or Transformers
• Familiarity with OpenAI technologies and experience implementing solutions using OpenAI APIs and tools is a plus
• Strong analytical and problem-solving skills with the ability to translate business requirements into data-driven solutions
• Excellent communication and collaboration skills with the ability to work effectively in a team environment
• Demonstrated ability to work on multiple projects simultaneously and deliver high-quality results under tight deadlines

Other Details

Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.