Sap Analytics Cloud (Sac) Consultant

Accenture Plc; Jawa Barat; Remote; IDR 300,000,000 - 600,000,000; Full time

Benefits offered by this job

Health benefits

Remote‑first culture

Home office stipend

Professional development opportunities

Conference attendance support

Performance bonuses

Career advancement opportunities

Job summary

Accenture Plc is seeking a Senior Data Scientist for a fully remote analytics team. You will drive data-informed decisions across the organization, building predictive models and scalable data pipelines for a cloud platform.

The role emphasizes statistical mastery, machine learning expertise, and cloud proficiency, with collaboration across engineering and product teams and opportunities to mentor peers.

Qualifications

• Master's or Ph.D. in a quantitative field (Statistics, CS, Math, Economics, etc.).
• 5+ years as a Data Scientist with large-scale data experience.
• Strong Python or R with Pandas/NumPy and ML libraries.
• Experience with AWS/Azure/GCP and their ML services.
• Solid statistical modeling, hypothesis testing, and experimental design.
• SQL and database literacy.
• Data visualization proficiency (Tableau/Matplotlib/Seaborn).
• Excellent problem-solving, communication, and ability to work remotely.

Responsibilities

• Design and implement advanced statistical models and ML algorithms for large-scale cloud data.
• Develop predictive models for user behavior, performance, and trends.
• Extract, clean, and transform complex datasets from cloud sources.
• Build and maintain scalable data pipelines for analytics and reporting.
• Collaborate with engineering and product teams to define metrics and Analytics requirements.
• Develop dashboards and visualizations to communicate findings to stakeholders.
• Perform A/B testing and experimental design to evaluate product changes.
• Stay current with advances in data science and cloud tech.
• Mentor junior data scientists and contribute to team growth.
• Write clean, well-documented code and resolve data-related issues.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Data visualization

Cloud platforms

Experiment design

Communication

Remote work

Education

Master's or PhD in Statistics, CS, Mathematics, Economics or related quantitative field

Tools

Spark

Hadoop

Tableau

Matplotlib

Seaborn

SageMaker

BigQuery

Job description

Our client, a rapidly growing cloud technology provider, is seeking a talented Senior Data Scientist to join their innovative, fully remote analytics team. This role is pivotal in driving data-informed decision‑making across the organization and developing sophisticated analytical solutions for their cloud platform. You will leverage massive datasets to extract actionable insights, build predictive models, and contribute to the optimization of cloud services. The ideal candidate possesses a strong blend of statistical knowledge, machine learning expertise, and proficiency in cloud environments. As part of a fully remote, collaborative team, you will work with cutting‑edge technologies and tackle challenging problems that impact millions of users. We are dedicated to fostering a remote‑first culture that empowers individuals and promotes continuous learning and professional growth. This is an exceptional opportunity to shape the future of cloud analytics and make a significant impact.

Key Responsibilities

• Design and implement advanced statistical models and machine learning algorithms to analyze large‑scale cloud data.
• Develop predictive models for user behaviour, system performance, and business trends.
• Extract, clean, and transform complex datasets from various cloud sources.
• Build and maintain scalable data pipelines for analytics and reporting.
• Collaborate with engineering and product teams to identify key metrics and analytical requirements.
• Develop dashboards and visualisations to communicate findings to stakeholders.
• Perform A/B testing and experimental design to evaluate product changes and features.
• Stay current with the latest advancements in data science, machine learning, and cloud technologies.
• Mentor junior data scientists and contribute to the team’s technical growth.
• Write clean, efficient, and well‑documented code.
• Troubleshoot and resolve data‑related issues.
• Contribute to the strategic direction of data analytics within the company.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a focus on large‑scale data analysis.
• Strong proficiency in Python or R, including experience with data manipulation libraries (e.g., Pandas, NumPy) and ML libraries (e.g., Scikit‑learn, TensorFlow, PyTorch).
• Extensive experience working with cloud platforms such as AWS, Azure, or GCP, including their data and ML services (e.g., S3, Redshift, SageMaker, BigQuery).
• Solid understanding of statistical modelling, hypothesis testing, and experimental design.
• Experience with SQL and database technologies.
• Proficiency in data visualisation tools (e.g., Tableau, Matplotlib, Seaborn).
• Excellent problem‑solving, analytical, and communication skills.
• Ability to work independently and collaboratively in a fully remote environment.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.

Benefits

• Highly competitive salary.
• Comprehensive health benefits.
• 401k matching programme.
• Excellent flexibility and autonomy as a fully remote role.
• Generous home office stipend.
• Extensive professional development opportunities.
• Support for attending industry conferences.
• Performance‑based bonuses.
• Opportunities for career advancement.
• Innovative culture that values data‑driven insights and continuous improvement.