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This role is open to candidates in Boston, New York, Washington, D.C., Chicago, LA, Silicon Valley and San Francisco. Overview If you are a Data Scientist looking for an opportunity to showcase your problem-solving and programming skills, then we would like to meet with you! The Senior Data Scientist is a member of the Data Science Center, which supports Cornerstone’s litigation teams with data wrangling and advanced analytics programming in an environment with multiple simultaneous big data projects. The Senior Data Scientist is a highly independent professional who will be asked to solve a range of non-routine problems with moderate guidance and direction. Responsibilities Essential Job Functions • Uses high-level software tools (e.g., R, SQL, Netezza, SAS, Stata, Git, Python) to clean, build, sample, and prepare data for analysis; build analytics models; conduct econometric/statistical analysis; and create effective visualizations. • Drives the adoption of efficient data management and statistical analysis using a diverse set of analytic, econometric, database and programming tools on matters involving data-intensive finance and applied economics issues. • Fills senior role in firm development projects, including identifying opportunities for reusable code, data pipelines, packaging solutions, and high-value data sources. • Communicates with experts and clients regarding technical details of analysis as required. • Provides leadership in the implementation of more advanced techniques such as text analytics, web data collection, simulations, advanced visualization, machine learning, LLM, and model cross validation. • Promotes synergy and best practice sharing among resources; drives collaboration with other analytic and programming colleagues within the organization. • Contributes to the shaping, mentoring, and training of junior Data Science and consulting staff. • Leads in-office, firm wide trainings, and experience sharing to raise data analytics skill level of consulting staff and disseminate knowledge of capabilities. Qualifications Experience/Skills/Education Required • 5+ years professional experience solving analytical problems using quantitative approaches and programming skills, including advanced data wrangling and manipulation, complex programming logic, and large data volumes. S. or Ph.D. in Computer Science, Data Science, Statistics, or Business Analytics, or related field or equivalent experience preferred. • Ability to solve a range of straightforward and non-routine problems with moderate guidance and direction. • Interest in working across a wide variety of finance and economics matters, including developing tools and packages to enhance ETL efficiency. • Practical experience in machine learning techniques involving supervised and unsupervised learning, classification and regression models, dimensionality reduction, hyperparameter tuning, and XAI/XML methods. • Strong team and client-orientation and ability to communicate results and methodology with the project team, clients, and experts. Experience in leading technical projects in professional settings. • Demonstrated interest and aptitude for mentoring and teaching programming skills. • Advanced skills and minimum five years’ experience programming in R or Python. • Knowledge of and proficiency with SQL and database systems. • Mastery of version control techniques and software, e.g., Git. • Proficient knowledge of Linux/Unix shell commands and scripting. • Strong conceptual understanding of the context and business requirements. Desirable • Prior experience with traditional NLP techniques (e.g., TF-IDF, topic modeling, named entity recognition), information retrieval (e.g., query understanding, Elasticsearch, semantic search), and/or LLM-based workflows (e.g., retrieval-augmented generation, AI agent). • Prior experience with parallel database systems (e.g., Netezza, Redshift, BigQuery, Snowflake). • Prior experience leveraging cloud infrastructure to meet data and computational challenges (e.g., Amazon Web Services, Azure, Google Cloud Compute). • Prior experience working with large data using distributed storage and processing (e.g., Spark, Map/Reduce). • Prior experience building applications and solving ad-hoc problems using one or more general purpose language (e.g., Python, C, C++, Rust, Go, Java, C#). • Familiarity with statistical programming software packages other than R such as SAS, Stata, VBA, Matlab, Octave, and Julia. APPLICATION REQUIREMENTS You will be asked to submit the following: • Resume • Cover Letter • Two references from current workplace or university (optional) • Code portfolio (optional) ABOUT CORNERSTONE RESEARCH Cornerstone Research provides economic and financial consulting and expert testimony in all phases of complex disputes and regulatory investigations. The firm works with an extensive network of prominent academics and industry practitioners to identify the best-qualified expert for each assignment. With a reputation for high quality and effectiveness, Cornerstone Research has consistently delivered rigorous, state-of-the-art analysis since 1989. The firm has more than 1,000 professionals in nine offices across the United States, UK, and EU. Cornerstone Research is involved in a broad variety of high-profile projects. Current exemplary matters include claims of anticompetitive conduct, potential mergers and the impact on market competition, the impact of intellectual property infringement, allegations of misleading marketing or false claims, allegations of manipulation of financial markets, evaluation of fair merger prices, securities litigation, claims in consumer finance, anticompetitive conduct in financial markets, and corporate governance issues. We cover topics in a broad range of industries including consumer goods, life sciences, high technology, energy, telecommunications, industrial markets, banking, securities, fintech, private equity, insurance, and cryptocurrency. More detail on Cornerstone Research and what we do can be found on our website: www.cornerstone.com. ABOUT DATA SCIENCE CENTER The Data Science Center at Cornerstone Research is a tight knit but growing group of Data Scientists and Data Engineers. We are tasked with streamlining and innovating all data work at Cornerstone Research. Besides acting as internal consultants for all things data-related, the Data Science Center build and maintain databases and infrastructure, data pipelines, ML and NLP models, data viz, and internal packages. Some examples of the work the team has done include: • Fine-tuning the Detectron2 ML model to identify specific products inside of hundreds of thousands of images found across social media – were influencers promoting the use of a dangerous product? • Creating novel geospatial data visualizations of industry concentrations in particular regions of the United States – were there opportunities for monopolistic behavior among merging firms? • Developing API pipelines from dozens of public and private sources to collect economic, financial, legal, and healthcare data – how can our team automate relevant data collection so we can focus more of our time on meaningful modeling and analysis? • Building semi-supervised NLP models to categorize free-form text found among millions of Twitter posts – were adult brands targeting minors in a harmful way? For an interview with Cornerstone's COO discussing more about our team, see Data Science Center Tames Big Data Projects (cornerstone.com). Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics, or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law. Cornerstone Research offers a market-leading compensation and benefits package. The base salary for the Senior Data Scientist role with a relevant education is $207,500-$225,000. In addition to the base salary, new Data Scientists will be eligible for a signing bonus depending on skills, education, and experience. Data Scientists are also eligible for discretionary bonuses based on case performance, firm contributions, and other factors. Previous relevant work experience will be taken into consideration in determining compensation. Information about our benefits, including health and wellness and family support, can be found on the Careers page of our website. job perk: Posted At: 10 hours ago, job perk: Schedule Type: Full-time