Summer Data Science Consultant

3 weeks ago

Menlo Park, United States Cornerstone Research Full time

Overview:
**SUMMER DATA SCIENCE CONSULTANT (HYBRID **- SILICON VALLEY**)**:
The Summer Data Science Consultant 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 Summer Data Science Consultant will develop code, analytic algorithms, data management tools and scripts to assist our finance and economics professionals to understand and model the facts underlying major litigation disputes or investigations. The Summer Data Science Consultant will use high-level software tools (e.g., R, SQL, SAS, Netezza, Git) to build analytics models, conduct econometric/statistical analysis, and visualize data.

In addition, The Summer Data Science Consultant will be asked to clean, build, sample, and prepare client data for analysis; prepare code and data for production to opposing expert support teams; and review, test and analyze programs provided by adverse parties. The Summer Data Science Consultant will act as a resource and shares experience with junior colleagues and consulting case teams.

At Cornerstone Research, you will be part of a thriving, 900-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. _Inc._ Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities.

**You’ll Love It Here If You**:

- Embrace learning and continuous improvement
- Set and strive for a high bar of excellence
- Believe that teamwork leads to success: ask us what it means to be #onefirmfirm
- Take pride in always doing your best work, even if it’s harder or takes longer
- Are passionate about what you do

**How You’ll Help Our Team Succeed**
- Work, from start to finish or as adjunct data/technology experts, as members of diverse case teams alongside Analysts and under the direction of Project Managers in a litigation consulting and expert support environment.
- Conduct 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.
- Import, build, clean, and prepare datasets and produce analysis, tables, exhibits, maps, and visualizations to support economic analyses performed by case teams, including the automation of such tasks.
- Contribute to best practices as they relate to analytic programming standards, including data organization, standard programs, libraries, re-usable code development and validation, etc.
- Provide mentoring and training to Analysts on case teams and participate in and lead office and firm-wide training to raise data analytics skill level of Analysts.
- Promote synergy and best practice sharing among resources, drive collaboration with other analytic and programming colleagues within the organization.

**What You’ll Need to Be Successful**:

- BA/BS or MA/MS, preferably in a discipline such as Data Science, Social Science, Computer Science, Statistics, or related field.
- 1+ 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.
- Demonstrated interest and aptitude for mentoring and teaching programming skills.
- Advanced skills and minimum one year experience programming in R or Python.
- Knowledge of version control techniques and software, e.g., Git.
- Intermediate knowledge of and proficiency with SQL and database systems.
- Minimum knowledge of Linux/Unix shell commands and scripting and at least one other scripting language such as Python or Perl.
- Expertise Python (and scientific computing such as SciPy, NumPy, or Pandas) is a plus.
- Prior experience with parallel database systems (e.g. Netezza, Teradata, Greenplum, Aster Data, Vertica) is a plus.
- Familiarity with and knowledge of machine learning, natural language processing, and text analytics is a plus.
- Familiarity with general purpose programing and scripting languages such as C, C++, Java, C#, Ruby, JavaScript and VBScript is a plus.
- Familiarity with statistical programming software packages other than SAS or R such as Stata, Matlab, Octave, and Julia is a plus.
- Familiarity with distributed storage and processing tools (i.e. Hadoop, Map/Reduce, Hive, Pig) is a plus.
- Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2/S3/EMR, RackSpace Cloud, OpenStack) is a plus.
- Strong team and client-orientation and ability to communicate results and methodology with the project team.
- Ability to perform data quality checks in a methodical manner to understand how to accurately utilize client data.
- Develop detail-oriented, logical and documente

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