Analytics Product Analyst – Predictive Modeling at Skadden, Arps, Slate, Meagher & Flom

Company Overview Skadden, Arps, Slate, Meagher & Flom is a leading global law firm serving corporations, financial institutions, and governmental entities around the world on their most complex, high-profile matters. As a firm committed to innovation and excellence, Skadden embraces remote work and fosters a collaborative environment where talented individuals can thrive, regardless of location. We are dedicated to providing our employees with the resources and support they need to excel in a virtual setting, empowering them to deliver exceptional results for our clients from anywhere in the U.S. Position Summary We are seeking a highly motivated and experienced Analytics Product Analyst to join our growing Data & Analytics team. This is a fully remote position, allowing you to work from anywhere in the United States. As an Analytics Product Analyst focused on Predictive Modeling, you will play a critical role in developing and deploying advanced analytical solutions that drive strategic decision-making across the firm. You will work closely with attorneys, business professionals, and other data scientists to identify opportunities, define requirements, and build predictive models to solve complex business problems. Key Responsibilities Collaborate with stakeholders to understand business needs and translate them into analytical requirements. Design, develop, and validate predictive models using various statistical techniques and machine learning algorithms. Work with large datasets to perform data cleaning, feature engineering, and exploratory data analysis. Communicate findings and recommendations to both technical and non-technical audiences. Deploy and maintain predictive models in a production environment. Monitor model performance and identify areas for improvement. Document model development process, including data sources, algorithms, and validation results. Stay up-to-date on the latest trends in data science and predictive modeling. Participate in virtual team meetings and collaborate with colleagues across different time zones. Required Qualifications Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering. Master's degree preferred. 3+ years of experience in developing and deploying predictive models. Proficiency in statistical modeling techniques such as regression, classification, and time series analysis. Experience with machine learning algorithms such as decision trees, random forests, and neural networks. Strong programming skills in Python or R. Experience with data visualization tools such as Tableau or Power BI. Excellent communication and interpersonal skills. Proven ability to work independently and as part of a remote team. Must be able to work effectively in a fully remote environment, managing time and priorities independently. Technical Requirements As a remote employee at Skadden, you will need to meet the following technical requirements: Dedicated home office space free from distractions. Reliable high-speed internet connection with a minimum upload/download speed of 25 Mbps. Company-provided laptop and necessary software. Comfortable using virtual communication tools such as Zoom, Microsoft Teams, and Slack. Ability to work during standard business hours, Eastern Time (ET) is preferred, with some flexibility. Desired Skills Experience with cloud computing platforms such as AWS or Azure. Familiarity with big data technologies such as Hadoop or Spark. Experience with natural language processing (NLP). Experience with database management systems such as SQL Server or Oracle. Experience working in the legal industry. Experience collaborating on projects using Git or other version control systems. Compensation & Benefits The annual salary range for this remote position is $120,000 - $170,000, commensurate with experience and qualifications. Skadden offers a comprehensive benefits package to our remote employees, including: Medical, dental, and vision insurance. 401(k) with company match. Paid time off and holidays. Home office stipend to help with setting up your workspace. Virtual onboarding and training programs. Opportunities for professional development and growth. Virtual team building activities and social events. Flexible work schedule. Occasional travel may be required (1-2 times per year) for team meetings (expenses covered by the firm). How to Apply If you are a highly motivated and experienced Analytics Product Analyst looking for a challenging and rewarding remote opportunity, we encourage you to apply through our careers page. Please submit your resume and a cover letter outlining your qualifications and experience. Our virtual hiring process includes online assessments and video interviews. We look forward to hearing from you!