
Let there be change.
S&C Global Network - AI - Resources - Assoc Director Data Science
福利待遇
•Learning Budget
必备技能
Python
PySpark
SQL
Scala
Statistical Modeling
Machine Learning
Experimental Design
Entity: - Accenture Strategy & Consulting
Team: - Global Network – Data & AI
Practice: - Resources
Title: - Data Science Associate Director
Job Location: Bangalore/Gurgaon/Mumbai
About S&C - Global Network: -
- Accenture Global Network
- Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition
As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
What you would do in this role
The ideal candidate shall be,
- Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders at all levels
- Strategic mindset, with the ability to drive business growth and identify new opportunities
- Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems.
- Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements.
- Take initiatives and collaborate with different Accenture internal teams and support driving sales.
- Collaborate with different cross-functional teams, including technology, engineering, Strategy and account teams, to identify the new use cases.
- Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development.
- Manage and mentor high-performing team of data analysts to work on large scale datasets, cloud platforms, IoT, and other similar large datasets.
Who we are looking for?Qualifications and Experience:
- Bachelor's/Master’s degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field
- 15+ year(s) experience as a Data Science with a focus on cloud services.
- Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design.
- Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings.
- Experience in Utilities, Energy, Chemical and Natural Resources experience is preferred.
- Understanding of programming languages such as Python, Py Spark, SQL, or Scala.
- Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring.
- Solid understanding of data integration, data modeling, and data warehousing concepts.
- Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
- Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
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关于Accenture

Accenture
PublicAccenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.
10,001+
员工数
Dublin
总部位置
$139B
企业估值
评价
9条评价
3.6
9条评价
工作生活平衡
2.8
薪酬
3.2
企业文化
3.4
职业发展
3.7
管理层
3.1
62%
推荐率
优点
Good career growth and learning opportunities
Great culture and work environment
Good compensation and benefits
缺点
Office politics and political environment
Long hours and stressful work
Low starting salary below market rate
薪资范围
21个数据点
L2
L6
M3
M4
M5
M6
L3
L4
L5
L2 · Business Operations L2
0份报告
$55,250
年薪总额
基本工资
$22,100
股票
$27,625
奖金
$5,525
$38,675
$71,825
面试评价
1条评价
难度
3.0
/ 5
时长
14-28周
录用率
100%
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
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