Data Scientist

Job Description: Data Scientist

Summary:
Would you like to be part of an exciting journey that is shaping the way businesses and industry are using data? Are you excited by the prospect of analyzing data and finding hidden trends and meaning from it? Do you want to be on the cutting edge of analytics, leveraging predictive models and machine learning to drive business impact? Then write to us. Thomson Reuters is building a new Data Analytics team and we are looking for talented individuals who can help us script a new story.

Take the initiative to tackle new business problems and have the curiosity to explore large volumes of data
Seamlessly work with various business stakeholders, understand their individual needs and design custom solutions
Have the curiosity to interrogate data, conduct independent research, utilize various techniques to analyze it and, if need be, tackle ambiguous problems with maturity
Is firmly grounded in their understanding of statistical concepts and machine learning necessary to build various models, algorithms etc.
Technically strong to design solutions and reports for management
Work well within a team and collaborate with colleagues across domains and geographies
Learn the business quickly

The skills that will make you successful are:
Knowledge of advanced statistical modelling, testing, data mining, and data science techniques
Has used modeling frameworks including Scikit-learn, PyTorch, and TensorFlow
Highly proficient in Python and SQL (or any other querying language)
Has advanced Excel and PowerPoint skills
Experience with Tableau and other data visualization tools would be great (but not necessary for the role)
Strong logical and scientific approach to problem-solving
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

Must have at least 1-3 years of experience working in the data science domain
Has experience building machine learning algorithms and implementing models in production
Proficient at using Python or any other leading software/languages
Knowledge of querying languages like T-SQL and relational databases
Conceptual understanding of Hadoop and cloud computing like AWS
Demonstrated participation on platforms like Kaggle is a plus
Previous experience working on sales and marketing data is a plus
Experience with Amazon Web services
Pricing optimization models
Segmentation
Recommendation engines

Required Skills and Education:
Graduates from any stream (background in quantitative fields preferred)
Excellent communication skills
Flexible and able to meet and learn the changing demands of the business and projects
Excellent communications skills and has the right attitude/personality of a team player
A demonstrable ability to assimilate new information thoroughly and quickly
Good sense of humor, emotional maturity and the ability to work well under pressure
Practical experience with the use of machine learning for business analytics

**What's in it For You?**

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
**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

**Wellbeing**: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

**Culture**:Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

**Learning & Development**:LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

**Social Impact**:Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

**Purpose Driven Work**:We have a superpower that we’ve never talked about with as much pride as we should - we are one of the only companies on the planet 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.
- Optional_ - compensation. Compensation may only be re