Job Description

The Data Scientist will be responsible for managing, understanding and analyzing in-house and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities. This individual will work closely with the clients Analysts to drive, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support analysts, customers and existing product offerings.

Successful candidates will have the opportunity to contribute directly to the features and capabilities deployed in our applications. They will work with customers to assist in gathering requirements and contributing to Statements of Work (SOWs) for new sales or POCs and executing design post sale while getting deeply involved into the delivery of the proposed solutions. The role will interface with the customer and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer.

Day to Day:

Define, manipulate, aggregate and use both structured and unstructured big data in order to support

descriptive and predictive analytics across the businesses.

Collaborate with scientists, product groups and content groups to perform big data aggregations, symbology mapping, and manipulations of important data-sets

Perform statistical (and machine learned) analyses on data to serve business purposes

Narrate stories (sometimes to a non-technical audience) about our content and processes by data analysis and visualization

Define and develop software for the analysis and manipulation of large and very large data-sets

Guide the architecture of big-data business processes with an eye towards robustness, parsimony and reproducibility (at senior levels)

As the Data Scientist, you will also contribute to a variety of areas including:

Working with interdisciplinary engineering and research teams on designing, building and deploying data analysis systems for large data sets.

Working closely with customers to apply data science to their mission specific content.

Creating algorithms to extract information from large data sets.

Establishment of scalable, efficient, automated processes for model development, model validation, model implementation, and large-scale data analysis.

Development of metrics and prototypes that can be used to drive business decisions.

Providing thought-leadership and dependable execution on diverse projects.

Identification of emergent trends and opportunities for future client growth and development.

Researching and identifying Artificial Intelligence (AI) methods including Machine Learning (ML) and Natural Language Processing (NLP) methods.

Identification of new applications of AI in the context of Thomson Reuters and content sets.

Exploring existing data for insights, and recommends additional sources of data for improvement.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements

A bachelors or masters degree in a quantitative field (e.g., statistics, computer science, mathematics physical/biological sciences, or GIS).

DHS Suitability

3-5 years of experience with data cleaning, analysis, programming, and reporting of results to internal or external stakeholders (education can substitute for some years of experience)

Programming skills in one or more major programming languages (Python/R/Java).

Are creative, intellectually curious, and willing to experiment and work in dynamic organizations and situations, sometimes with little oversight or well-defined requirements.

The ability to take ownership for defined areas of accountability, most critically the integrity of the technical and data design in terms of meeting customer needs, design delivery and supportability.

A good understanding of distributed computing concepts.

Experience facilitating and gathering input from subject matter experts.

Excellent understanding of ML, NLP, and statistical methodologies.

The ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation.

Strong planning, time management, and organizational skills.

A team player / self-starter mentality with the ability to work using own initiative.

Ability to obtain and maintain a U.S. national security clearance. Big Data analytics experience (preferred, but not required).

Previous experience with data modeling for graphs (preferred, but not required).

Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies (preferred, but not required). null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.