Data scientist. Work with stakeholders to build end to end data pipelines, ML based models and conduct business analysis.
About The Role
- Work with low to minimum supervision to solve business problems using data and analytics
- Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing
- Work with various business stakeholders, to understand and document requirements
- Design an analytical framework to provide insights into a business problem
- Explore and visualize multiple data sets to understand data available for problem solving
- Build end to end data pipelines to handle and process data at scale
- Build machine learning models and/or statistical solutions
- Build predictive models
- Use Natural Language Processing to extract insight from text
- Design database models (if a data mart or operational data store is required to aggregate data for modeling)
- Design visualizations and build dashboards in Tableau and/or PowerBI
- Extract business insights from the data and models
- Present results to stakeholders (and tell stories using data) using power point and/or dashboards
- Work collaboratively with other team members
About You
- Must have a minimum of 6 years of experience working in the data science domain
- Degree preferred in a quantitative field (Computer Science, Statistics, etc.
- Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK
- Highly proficient in Python
- Highly proficient in SQL
- Experience with Tableau and/or PowerBI
- Has worked with Amazon Web Services and Sagemaker
- Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica
- Experience with one or more of the following types of business analytics applications:
- Predictive analytics for customer retention, cross sales and new customer acquisition
- Pricing optimization models
- Segmentation
- Familiar with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake
- Proficient in machine learning, statistical modelling, and data science techniques
- Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations
- Excellent organizational, analytical and problem-solving skills
- Ability to communicate complex results in a simple and concise manner at all levels within the organization
- Ability to excel in a fast-paced, startup-like environment
- Consulting Experience with a premier consulting firm
- Advanced degree in a quantitative field (ex. Master’s, PhD.
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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 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. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com.
