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Data Scientist for Market Research

Lugar de trabajo: Buenos Aires

Regional Description: Argentina

Número de la posición: 00616235

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- Descripción de la posición

Accenture Research uncovers trends and shape data-driven insights through Thought Leadership and Research for Accenture and its clients. Accenture Research combines deep understanding of Accenture clients’ industries with leading-edge research techniques to discover the most pressing issues facing organizations today.
 
Our growing team of 250 researchers and analysts develops thought-provoking research -- supported by proprietary data and partnerships with leading organizations that guides our innovations and allows us to transform theories and fresh ideas into real-world solutions for our clients. Most specialize in an industry or business line (such as Retail or Automotive); some bring a particular research skill (such as data science, survey research or financial analysis) and many combine two or more areas of expertise. On any given project we will bring together researchers with the best combination of industry, geographic and technical skills to provide the relevant expertise for the particular task.
 
Accenture Research uses innovative business research techniques such as economic value modeling, analytics, crowdsourcing, expert networks, surveys, data visualization, and open research with Tier 1 academic and business partners.  We power hundreds of points of views published by Accenture every year, answers thousands of thought provoking questions from clients around the world, drives the insights that guides Accenture’s business strategy and handles Accenture’s exclusive network of data and sources covering all industries, countries, market trends and digital technologies. Accenture Research is part of Accenture’s Strategy Office.
 
Job Description:
• Designs and manages research using data science techniques to define and re-shape thinking on the future of customer/business/technology issues
• Build data science and economic research assets that differentiate Accenture Research (apps, interactive visualizations, etc.) in the market
• Help develop the role of data science in both client- facing research and thought leadership, i.e., identify data science-based offerings to drive value for client teams and the practice
• Interact and collaborate with industry researchers to embed data science inputs into client and thought leadership research projects
• Help develop and write research proposals and market and sell the capability to clients internally; collaborate in raising awareness and understanding of data science research tools and outputs in Accenture and Accenture Research (NLP, deep learning, text analytics, sentiment analysis, data-wrangling, machine learning, web-scraping etc.)
• Assist in client-facing situations, for instance in proposals and live presentations where a core part of the research solution resides in economic research or data science
• Credibly present work and discuss issues with clients
• Assist in growing data science economic research skills in the team, e.g., organizing learning activities, create x-pollination opportunities
• Coach and mentor other researchers in data science opportunities on active projects
Type of Experience
• Economist / Engineer / Computer Science graduate with 5+ years research experience in global / large corporation or institution (either private, public or international organization) OR research and/or teaching assistant at an academic institution
• Programming skills in R and/or Python
• Experience in statistical software like Stata and eViews
• Experience in Advanced Data Visualization
 
Technical and Personal Skills
"Hard” skills:
• Analyze, interpret and make sense of complex data on various formats (text, numeric, image, etc.) and provide solutions to data challenges
• Validate data flows and prepare ETL processes according to business requirements
• Incorporate business requirements into data science research design specifications.
• Develops data warehouse models and prepare reports for end users
• Solid knowledge of econometric techniques is expected
• Knowledge of data science analysis tools such as R, Python
• Proficient in BI tools (Qlik, Tableau)
• Solid experience in the presentation of research deliverables to high-level executives, i.e., “ability to tell the story behind the data”
• Experience in Google Cloud or AWS or Azure environments is preferred.
 
“Soft” skills:
• Curious, data fan with a strong research drive
• Solution oriented: Pragmatic approach to research problems
• Proven ability to work in teams and intercultural environments as well as flexibility to work with team mates in different time zones.
• Strong people developer/teacher/coach
• Entrepreneurial attitude. Creative and independent approach to research problems.
• Strong professional qualities: client focus, decisiveness, integrity and resilience to stress against stretch goals and deadlines.
• Strong, business-oriented communications skills (focus on actionable intelligence) and good interpersonal skills in one-to-one and team settings
 
Professional Skill Requirements
• Proven ability to build, manage and foster a team-oriented environment
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills
• Excellent leadership and management skills
 
What do we offer as an employer? Challenges. Team. Training. Recognition. Career Development. Motivation. Joining Accenture translates into continual opportunities to expand on what you can do. Challenge yourself with interesting work focused on delivering innovation and proven solutions. If this is what you are looking for, Accenture is your place.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
 

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