Data Scientist

The job overview for this position is that Forge is seeking a highly skilled and innovative Data Scientist to join their machine learning and AI engineering team. The Data Scientist will be responsible for analyzing data, developing models, and implementing cutting-edge algorithms using machine learning and AI techniques. They will collaborate with cross-functional teams, perform exploratory data analysis, and optimize machine learning algorithms. The Data Scientist will also stay updated on the latest advancements in the field and communicate findings to both technical and non-technical stakeholders.

• Utilize advanced statistical and machine learning techniques to analyze and extract insights from large and complex datasets.
• Design and develop predictive models, generative models, classification algorithms, and recommendation systems to address specific business challenges.
• Collaborate with cross-functional teams to define outcomes, identify data requirements, and develop strategies for data collection and preprocessing.
• Perform exploratory data analysis and feature engineering to extract meaningful features from raw data.
• Implement and optimize machine learning algorithms, ensuring scalability and efficiency.
• Evaluate and validate models using appropriate evaluation metrics and statistical methods.
• Continuously monitor model performance, identify opportunities for improvement, and make recommendations for model enhancements.
• Stay updated on the latest advancements in machine learning, AI, and data science, and proactively explore innovative approaches to problem-solving.
• Communicate findings and insights to both technical and non-technical stakeholders through visualizations, reports, papers, and presentations.

• Extensive background in data science, statistics, mathematics, or a related field.
• 3+ years of building ML pipelines for business application experience.
• Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms.
• Experience in feature engineering, model selection, and hyperparameter optimization.
• Proficient in data visualization tools and techniques to effectively communicate complex findings.
• Analytical and problem-solving skills with keen attention to detail.
• Excellent communication and collaboration skills to work effectively in a multidisciplinary team.

• Competitive annual salary range of $160,000 - $170,000 + bonus & equity for residents of San Francisco/Bay Area, CA or New York, NY
• Opportunity to work with a highly skilled and innovative team
• Access to a world-class technology platform
• Exposure to the largest network of buyers and sellers in the world
• Liquidity solutions for private shares
• Exclusive data and insights
• Custody offering
• Vibrant marketplace for private unicorn growth
• Opportunity to work on cutting-edge algorithms and machine learning techniques
• Collaboration with cross-functional teams
• Exploratory data analysis and feature engineering
• Implementation and optimization of machine learning algorithms
• Continuous monitoring and improvement of model performance
• Opportunity to stay updated on the latest advancements in machine learning, AI, and data science
• Communication of findings and insights to both technical and non-technical stakeholders
• Equal opportunity employer that values diversity