Data Scientist - Decision Science Insights | Analysts/Experts at Accenture

Buenos Aires, Buenos Aires, Argentina

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Banking, Supply Chain, MarketingIndustries

Requirements

Insights: Data exploration and report generation to discover value for business strategy using Power BI, Tableau, or Looker (Must have)
Understanding of functional processes, metrics, stakeholders, and technical requirements (Must have)
Storytelling: Ability to communicate insights clearly to non-technical audiences (Must have)
Intermediate/Advanced English level (Excluyente/Must have)
General knowledge of data analysis and manipulation libraries (e.g., R, Python) (Must have)
Understanding of Data Science concepts and practical application, including defining limits and capabilities of data analysis (Must have)
Advanced Excel (Must have)
SQL (Good to have)
Python ETL programming (Good to have)
Familiarity with major cloud platforms (AWS, Azure, GCP) (Good to have)
Experience in project management, defining objectives, and deadlines (Good to have)
Experience dealing with stakeholders or clients (Good to have)
Preferences (non-exclusive): Banking, Supply Chain, Marketing industries

Responsibilities

Propose data-based solutions to optimize decision-making
Participate in the design and development of dashboards and applications
Implement solutions in collaboration with a multidisciplinary team
Convert data into actionable information for clients, working with experts in optimization, machine learning, simulation, UX, etc
Coordinate execution of activities within a small team, ensuring timely delivery; report delays and create contingency plans
Interpret client requirements to estimate time and effort for task development, considering available data, impact on existing models, and output effects

Skills

Key technologies and capabilities for this role

Power BITableauLookerPythonRSQLExcelAWSAzureGCPETL

Questions & Answers

Common questions about this position

What are the must-have technical skills for this Data Scientist role?

Must-have skills include data exploration and reporting with Power BI, Tableau, or Looker; understanding functional processes, metrics, and stakeholder requirements; storytelling to communicate insights to non-technical audiences; intermediate/advanced English; knowledge of data analysis libraries like R or Python; understanding of Data Science concepts; and advanced Excel.

What benefits are offered for this position?

Benefits include Pedidos Ya, free Swiss Medical prepaga health insurance for you and your primary family group, connectivity reimbursement, and gym membership.

Is English proficiency required?

Yes, intermediate/advanced English level is required and non-negotiable.

What does a typical day involve in this Decision Science role?

You'll convert data into actionable information, collaborate with experts in optimization, machine learning, simulation, and UX; coordinate team activities, manage timelines and contingencies; and interpret client requirements to estimate time and effort.

What experience makes a strong candidate for this role?

Strong candidates have must-have skills like Power BI/Tableau/Looker, Python/R, advanced Excel, and English; good-to-have includes SQL, Python ETL, cloud platforms (AWS/Azure/GCP), project management, stakeholder experience, and industry knowledge in Banking, Supply Chain, or Marketing.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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