
Lead ML Data Scientist - Vice President
- Columbus, OH
- $142,500-210,000 per year
- Permanent
- Full-time
- Communicate and interface with senior stakeholders, leveraging analytical skills and business acumen to drive impactful results that inform strategic decisions
- Commit to iterative development, engaging and updating stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle
- Develop insights, methods, or tools using various analytic methods such as causal-model approaches, predictive modeling, regressions, machine learning, time series analysis, etc
- Handle large amounts of data from multiple and disparate sources, employing advanced Python and SQL techniques to ensure efficiency and accuracy
- Own projects, manage stakeholders, and develop projects from inception to completion, encompassing tasks such as gathering detailed requirements, data preparation, model creation, result generation, and data visualization
- Develop and deploy machine learning models and generative AI capabilities
- Design, code, test, and debug applications
- Lead, mentor, and develop a team of technical professionals
- Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols
- BS Degree in a scientific field (Computer Science, Operations Research, etc.) and 7+ years of experience producing advanced analytics work
- Expertise in statistical software packages and data tools, including Python and SQL
- Proficiency in advanced statistical methods and concepts, predictive modeling, time series forecasting, and text mining
- Skilled in data mining & visualization
- Robust knowledge of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark)
- Competent with deep-learning frameworks such as PyTorch, TensorFlow, or Keras
- Ability to leverage traditional data science techniques and experience with data engineer pipelines for big data
- Knowledge of RNNs, and LSTMs models
- Efficient storytelling capabilities, including communicating complex concepts into digestible information for audiences of varying levels in the organization.
- Committed to iterative development, updating stakeholders, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle
- Masters or PHD in a related field.
- HR, Payroll, Incentive Compensation and other workforce related experience preferred
- Experience in big data platforms such as Databricks, AWS EMR, Sagemaker, Apache Glue, Spark, etc
- Experience/understanding of cloud storage (Object Stores like S3, Blob; NoSQL like Columnar, Graph databases)
Jersey City,NJ $142,500.00 - $210,000.00 / year
eQuest