Senior Data Scientist

Fractal Analytics • NY

320d • $115,000 - $160,000

About The Position

We are seeking a highly skilled and experienced data scientist to join our team. As a data scientist, you will be responsible for analyzing complex datasets, developing predictive models, and extracting valuable insights to drive business strategies and decision-making. You will work closely with cross-functional teams to understand business requirements, design and implement analytical solutions, and communicate findings to stakeholders.

Requirements

• Master's or Ph.D. degree in a quantitative field such as computer science, statistics, mathematics, or related disciplines.
• Proven experience as a data scientist, with a track record of delivering successful data-driven solutions.
• Strong proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
• In-depth knowledge of statistical techniques and machine learning algorithms (e.g., linear regression, decision trees, random forests, neural networks).
• Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot).
• Proficiency in SQL and working with databases.
• Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
• Strong problem-solving skills and the ability to work on multiple projects simultaneously.
• Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical audiences.
• Strong attention to detail and a commitment to delivering high-quality results.
• Ability to work independently and as part of a team in a fast-paced and dynamic environment.

Responsibilities

• Collect, clean, and preprocess large volumes of structured and unstructured data from various sources.
• Perform exploratory data analysis to identify patterns, trends, and relationships in the data.
• Develop and implement predictive models using statistical techniques and machine learning algorithms.
• Conduct feature engineering, including feature selection, transformation, and creation.
• Evaluate model performance and optimize models for accuracy, precision, recall, or other relevant metrics.
• Collaborate with domain experts, software engineers, and business stakeholders to understand requirements and develop data-driven solutions.
• Deploy models into production systems, ensuring scalability, reliability, and maintainability.
• Communicate complex findings and insights to non-technical stakeholders through data visualizations, reports, and presentations.
• Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to solve business challenges.
• Mentor and provide guidance to junior members of the data science team.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• 401(k) Plan participation after 30 days of employment
• 11 paid holidays
• 12 weeks of Parental Leave
• Flexible PTO policy

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree