Thomson Reuters

Job Description TRSS is looking for an experienced data and analytically focused practitioner to manage and lead an expanding portfolio of TRSS Data Science projects. The ideal candidate must have experience using the latest techniques in data science to solve real world problems, be an inquisitive technologist in search of advanced technical knowledge and discovery, and value customer relationships to ensure their and TRSS success. The Data Science Team Lead will help recruit, retain, and lead TRSS Data Scientists as they provide technical support to TRSS customers and the TRSS Analysis organization as well as the TRSS applied research and development strategy and partners. Role Purpose: Define, manipulate, aggregate and use both structured and unstructured big data in order to support descriptive and predictive analytics across the TRSS customer base. 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). RESPONSIBILITIES: Manages a portfolio of Data Science projects, working on both customer focused and research-oriented projects. Coordinate with TRSS Analysis, Business Development, and Product Integration for collaborative definition of project structure, responsibilities and deliverables. Keeps projects on track by checking in regularly with key stakeholders and monitoring progress of each team member closely, intervening as necessary to get researchers unstuck. Defines and maintains metrics, skill and capability gaps, and associated trainings to drive transparency and strategic vision. Provides primary analysis and data science support for projects as needed. SCOPE & IMPACT: Manages portfolio of TRSS Data Science projects and associated experienced data scientists taking responsibility for the quality and commercial appeal of their output Creates new line of models and champions development and commercialization process to maximize profit from these models Guide technology groups to specify APIs and tools for accessing Thomson Reuters data, serving as alpha or beta users from time to time. Builds well-functioning team of data scientists who work collaboratively with their analytical, engineering and product peers. KNOWLEDGE & SKILL: Strong written, communication and presentation skills. Able to respond and present work to peers, answer in-depth questions, accept constructive feedback, and modify work product accordingly. The ability to tell a story about data, in particular with visualization. Strong sense of algorithm: can think rigorously, anticipate how to handle common problems such as missing data, able to build re-usable modules of code that can be understood by peers. Solid understanding of statistics. Machine learning, NLP, and information retrieval skills. Strong skills in Python Solid skills in a statistical language such as Matlab, R or SAS. Knowledgeable in software development skills in a JVM hosted language (Java, Scala or Clojure). Specific big-data experience on cloud computing platforms with technologies such as Hadoop, Mahout, Pig, Hive and Spark. Solid relational database skills Solid NoSQL skills with specific expertise in MongoDB, CouchDB or Cassandra. Increasing levels of interactions with numerous stakeholders including: Key Analyst and Product development teams. Research and development partners Developers and quality engineers. Key analytic, feed and desktop product businesses Sales team, account managers, and customer specialists. Customers and potential customers. Academic and industry thought leaders by encouraging participation in local, in-person events about cutting edge technology/data topics. At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With more than 25,000 employees in more than100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own. As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. Associated topics: data analyst, data engineer, data integration, data manager, data quality, data scientist, data warehouse, hbase, mongo database administrator, sql