Research Specialist - IT

About The Company:

Ara's client is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries. We offer Strategy and Consulting, Technology and Operations Services, and Accenture Song - all powered by the world's largest network of Advanced Technology and Intelligent Operations centres. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

The Role:

This Role Is at Research Specialist (Level 9) Level Within Research Data Science Global Team. It Will Be Fully Dedicated to Support Our Growth and Strategy Research Team with A Focus on Asia Pacific and Latin America Regions. The Candidate Will Focus on The Creation of New Models and Analytics to Support Market And Competitor Analysis In These Markets, As Well As On The Creation Of Interactive Dashboards.

Key Responsibilities:

- Foster the adoption of data science research tools and outputs within Accenture Growth & Strategy teams (statistical modeling, text analytics, sentiment analysis, data-wrangling, machine learning, clustering, web-scraping etc.)

- Curate data assets in conjunction with Accenture Growth & Strategy team, data scientists, and researchers to build value-added models and tools

- Participate with Growth & Strategy leads to identify original analysis and insights through the curation of market data-

Skills Required:

"Hard" skills:

- Track record in statistical modeling and data science.

- Deep understanding of a wide variety of data sets related to Asia Pacific and Latin America, including finance databases as well as databases on talent/skills.

- Excellent understanding of modeling tools (Python) and techniques

- Skilled in SQL queries, experience validating data flows and prepare ETL processes according to business requirements.

- Knowledge of Cloud environments is a plus

- Strong analytical skills and a proven ability to make sense out of data

- Understanding of business dynamics and how to incorporate them into data science models

- Understand the opportunity to structure and combine disparate data to provide original insights.

- Familiarity with NLP models

"Soft" skills:

- Strong interest in Technology and Business analytics and research

- Interest and knowledge of Asia Pacific and Latin America

- Enthusiasm to work effectively - independently, collaboratively, and virtually - in a global, multi-cultural, multi-time zone team

- Ability to handle multiple projects simultaneously and prioritize appropriately and effectively

- Problem solver approach to work

- Strong professional qualities: client focus, decisiveness, integrity, resilience to stress against stretch goals and deadlines

Qualifications & Experience:

- Education: Bachelor's degree in Engineering, Economics, Statistics, Data Science, or similar. Master's degree is mandatory for those without a Bachelors in Engineering degree.

- Work Experience: 5 to 8 years of relevant data science experience