Cornerstone Research is a consulting firm specializing in the analysis of complex financial, economic, accounting, and marketing issues, and is widely known as one of the nation's leading finance and economics consulting firms with more than 1000 full-time staff members across nine offices.

We attribute our success to a unique combination of resources: a creative and energetic staff, cutting-edge research, a strong culture of dedication to our people and our clients, and our network of academic and industry experts. Our consultants employ innovative problem-solving approaches and achieve unparalleled analytic depth.

Our clients include major securities firms, top consulting, and professional service firms, leading pharmaceutical companies, and internet and high-technology firms, among others. Our projects often receive focused attention from chief executive officers and boards of directors of our clients. We also work extensively with top law firms that serve as counsel for our clients.

Our diverse experience allows us to provide clients and their counsel with a unique breadth of perspective and expertise. For example, in financial securities projects, we analyze stock prices, derivatives, and debt instruments. In antitrust and intellectual property cases, we examine industry structure, the nature of purchase decisions, and the commercial value of innovation and technology. We also frequently play a role in regulatory processes for high-profile mergers and acquisitions.

Our uniquely collegial and supportive atmosphere makes Cornerstone Research a great place to work. Recently, Vault (Firsthand) ranked Cornerstone Research as #16 in the 'Vault Consulting 50', its signature list of the best consulting firms to work for. We were also recognized by The Human Rights Campaign Foundation as a Leader in LGBTQ Workplace Inclusion, and Vault as #32 in Best Boutique Consulting Firms. These awards are a testament to our culture and our people - the most exciting and enriching aspects of a career at Cornerstone Research.

Cornerstone Research's commitment to Diversity, Equity and Inclusion is embedded in our values. Our culture is one of acceptance and belonging, where every individual in every role feels valued and can contribute authentically and fully. We intentionally nurture, embrace and celebrate diversity, provide equal access and opportunity, and actively engage with each other to understand and appreciate how our differences contribute to our success, both individually and as a Firm. Learn more about our commitment to DEI via our website.

The Data Scientist II develops code, analytic algorithms, data management tools and scripts, which assists our finance and economics professionals in understanding and modeling the facts underlying major litigation disputes or investigations. The Data Scientist II works to streamline and automate the work on consulting and firm building projects. The Data Scientist II uses high-level software tools (e.g., R, SQL, Netezza, Git, Python, SAS, Stata) to clean, build, sample, and prepare data for analysis, build analytics models, and conduct econometric/statistical analysis. In addition, the Data Scientist II uses casework experience to identify and develop new capabilities and reusable code in areas such as text analytics, web data collection, data visualization, and machine learning and disseminate those capabilities within the firm. The Data Scientist II will be a technical resource for the Data Science Center and for the firm. They will work closely with other Data Science members to optimize the use of all the computing resources at our disposal, support/augment case teams to meet the most complex client demands and continue to expand and develop our technical capabilities. The Data Scientist II is a highly independent professional who will be asked to solve a range of non-routine problems with moderate guidance and direction. The Data Scientist II mentors Data Scientists I and seeks opportunities to manage projects and processes. They also contribute to shaping training and mentoring of Data Science staff and consulting staff in coding.

Essential Job Functions

Works, as embedded or adjunct data/coding expert, as a member of diverse case teams alongside Analysts and under the direction of Project Managers in a litigation consulting and expert support environment.
• Acts as the technical point person and advisor to case teams, including fitting the right resources to the requirements of each project.
• Contributes to firm development projects, including identifying opportunities for reusable code, data pipelines, packaging solutions, and high-value data sources. Uses casework to identify areas to streamline and automate workflows and improve overall quality and efficiency.
• Drives the adoption of efficient data management and statistical analysis using a diverse set of analytic, econometric, database and programming tools.
• Applies version control techniques; trains and mentors case teams in the use of version control.
• Communicates with experts and clients regarding technical details of analysis as required.
• Contributes to and upholds best practices as they relate to analytic programming standards, including data organization, standard programs, libraries, re-usable code development and validation, etc.
• Provides mentoring and training to Analysts on case teams; participates in and leads office and firm-wide training to raise data analytics skill level of Analysts.
• 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 consulting and junior Data Science staff.

We encourage all applications to be submitted by 11:59 PM EST July 26th, 2024.

Application Requirements

You will be asked to submit the following:

• Resume
• Cover Letter
• Two references from current workplace or university (optional for non-Cornerstone applicants)
• Code portfolio (optional)

Experience/Skills/Education

Required

• BA/BS or MA/MS, preferably in a discipline such as Data Science, Statistics, Computer Science, Economics, or related field.
• 3 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.
• Ability to solve a range of straightforward and non-routine problems with moderate guidance and direction.
• Strong team and client-orientation and ability to communicate results and methodology with the project team, clients, and experts.
• Demonstrated interest and aptitude for mentoring and teaching programming skills.
• Advanced skills and minimum three years' experience programming in R.
• Mastery of version control techniques and software, e.g., Git.
• Proficient knowledge of Linux/Unix shell commands and scripting and at least one other scripting language such as Python or Perl.
• Advanced knowledge of and proficiency with SQL and database systems.
• Strong conceptual understanding of the context and business requirements.

Optional

• Prior experience with parallel database systems (e.g., Netezza, Redshift, BigQuery, Snowflake) is a plus.
• Prior experience leveraging cloud infrastructure to meet data and computational challenges (e.g., Amazon Web Services, Azure, Google Cloud Compute) is a plus.
• Prior experience working with large data using distributed storage and processing (e.g., Spark, Map/Reduce) is a plus.
• 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#) is a plus.

Focus Areas

Note: In your application, you will be asked to select which focus area you would like to apply to.

Generalist

• Interest in billable and firm building projects across a wide range of Finance and Economics practice areas. Interest in creating tools and packages improving efficiency of common data ETL processes at Cornerstone Research.
• Advanced knowledge of and proficiency with SQL and database systems.
• Expertise with Python (and scientific computing such as SciPy, NumPy, or Pandas) is a plus.
• Familiarity with and knowledge of machine learning, natural language processing, text analytics, web data collection, and advanced data visualization is a plus.
• Familiarity with statistical programming software packages other than R such as SAS, Stata, VBA, Matlab, Octave, and Julia is a plus.

Securities Practice Area Focus

• Strong interest in billable and firm building projects within the Securities practice area. Interest in creating tools and packages improving efficiency of common data ETL processes within the practice area.
• Demonstrated familiarity with financial securities such as equity, equity options, and equity warrants.
• Advanced skills in Excel.
• Familiarity with programming software packages other than R such as SAS, VBA, Stata, and Matlab is a plus.
• Familiarity with common securities data sources such as CRSP, Bloomberg, Eikon, Thomson Reuters, and Capital IQ is a plus.

Market Microstructure/FinTech Focus

• Experience and strong interest in billable and firm building projects within Market Microstructure and FinTech practice area. Interest in creating tools and packages improving the efficiency of common data ETL processes related to Market Microstructure and FinTech projects.
• Demonstrated financial knowledge in Market Microstructure and FinTech matters.
• Familiarity with common Market Microstructure and FinTech data sources and message formats such as FIX, PCAP, ITCH, Kaiko data is a plus.

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.