Job Location: Bangalore
The ideal candidate is someone who can:
- She/he should be a self-starter with a 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 his/her 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
- 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
Ideal candidate profile:
- Must have at least 2-4 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
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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
- 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
Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. 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.
Accessibility
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.
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More information about Thomson Reuters can be found on thomsonreuters.com.
https://bigdatakb.com/thomson-reuters-hiring-data-scientist-data-analytics-bigdatakb-com-28-jan-22/
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