Short Description:
As a Senior Data Scientist, you'll be pivotal in utilizing big data for analytics, collaborating across sectors, and leveraging statistical and machine learning models. The role involves processing, analyzing, and visualizing data, requiring 4+ years' experience, a quantitative degree, proficiency in Python, SQL, ML frameworks, and AWS. Enjoy a hybrid work environment, comprehensive benefits, and contributing to a purpose-driven global mission.
Position: Senior Data Scientist
Location: Multiple locations
Employment Type: Full Time (Hybrid)
Job ID: JREQ172420
Job Posting Title: Senior Data Scientist
Job Description: As a Senior Data Scientist, you will play a pivotal role in defining, processing, aggregating, and utilizing both structured and unstructured "big data" to support descriptive and predictive analytics across various business sectors. Your responsibilities will include collaborating with scientists, product groups, and content teams to aggregate and manipulate "big data," performing statistical and machine learning analyses to meet business objectives, and conveying data insights through analysis and visualization. You will also be involved in the development of software for analyzing and manipulating large datasets, with a focus on robustness, efficiency, and reproducibility.
About the Role: Would you like to be part of a transformative journey that is revolutionizing the use of data in businesses and industries? Are you passionate about delving into data analysis to uncover hidden patterns and insights? Do you want to be at the forefront of analytics, using predictive models and machine learning to drive tangible business results? Thomson Reuters is in the process of building a world-class Data Analytics team, and we are seeking talented individuals to join us in this endeavor.
About You: You are an ideal candidate for this role if you possess the following qualifications and characteristics:
- A minimum of 4 years of experience in the data science domain.
- A degree in a quantitative field (e.g., Computer Science, Statistics, etc.).
- Proficiency in both technical and business aspects.
- Technical skills, including expertise in machine learning, statistical modeling, and data science techniques.
- Experience with frameworks and libraries such as Scikit-learn, PyTorch, Keras, NLTK.
- Strong proficiency in Python.
- Strong proficiency in SQL.
- Familiarity with tools like Tableau and/or PowerBI.
- Experience with Amazon Web Services and Sagemaker.
- The ability to build data pipelines for data movement using tools like Alteryx, GLUE, Informatica.
- Experience in one or more of the following business analytics applications: predictive analytics, pricing optimization, segmentation, recommendation engines.
- Experience in one or more business domains, including Customer Experience and Service, Finance, Operations.
- Excellent presentation skills and the ability to communicate complex results effectively.
- Strong organizational, analytical, and problem-solving skills.
- The ability to convey complex results in a simple and concise manner at all organizational levels.
- The ability to thrive in a fast-paced, startup-like environment.
Nice-to-Have Qualifications:
- Consulting experience with a leading consulting firm.
- An advanced degree in a quantitative field (e.g., Master's or Ph.D.).
- Additional technical skills, including familiarity with Natural Language Processing, AWS APIs for Machine Learning, and experience with Snowflake.
Job Responsibilities:
- Independently work on solving business problems using data and analytics.
- Collaborate with various business domains, including Customer Experience and Service, Operations, Finance, Sales, and Marketing.
- Collaborate with business stakeholders to understand and document requirements.
- Design an analytical framework to gain insights into business challenges.
- Explore and visualize multiple datasets to understand available data for problem-solving.
- Build end-to-end data pipelines for scalable data handling.
- Develop machine learning models and statistical solutions.
- Create predictive models.
- Utilize Natural Language Processing for extracting insights from text.
- Design database models if a data mart or operational data store is needed for data aggregation.
- Create visualizations and build dashboards in Tableau and/or PowerBI.
- Extract valuable business insights from data and models.
- Present results to stakeholders using PowerPoint and/or dashboards.
- Collaborate effectively with team members.
What's in it for You:
- Hybrid Work Model: We offer a flexible hybrid working environment for office-based roles, ensuring a digitally and physically connected experience.
- Wellbeing: Comprehensive benefit plans, flexible work-life balance, mental health support, and more.
- Culture: Thomson Reuters is globally recognized for its commitment to equality, diversity, and inclusion, flexibility, and work-life balance.
- Learning & Development: Access to LinkedIn Learning, internal Talent Marketplace for cross-company project opportunities, and networking through Ten Thousand Coffees Thomson Reuters café.
- Purpose-Driven Work: Thomson Reuters helps its customers pursue justice, truth, and transparency. Join us in upholding the rule of law, commerce, factual reporting, and the provision of trusted information to people worldwide.
Accessibility: Thomson Reuters values diversity and inclusion in our workforce, and we provide equal employment opportunities regardless of race, color, gender, sexual orientation, religion, disability, age, and other protected classifications under applicable law. We also make reasonable accommodations for individuals with disabilities and sincerely held religious beliefs.
Join us to help redefine the way knowledge professionals work and contribute to a more transparent, just, and inclusive future. Thomson Reuters has been doing this for nearly 160 years, and we continue to innovate and drive industries forward.
Please click here to apply.
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