10 days old

Data Science Senior Manager

Los Angeles, CA 90006

Come join Accenture andInnovatein a company with AI and data analytics in its DNA. Leverage our unparalleled scale, scope, investment and global footprint to solve clients business needs. Youll drive results accessing 750+ industrialized apps and solutions, 800+ analytics and 300+ AI patents/patents-pending, and the Applied Intelligence Platform (API) that combines cutting edge and advanced analytics and automated AI with an integrated suite of leading tools and technologies.

Accenture Applied Intelligence is the worlds largest team in applying data science, machine learning, and AI with deep industry experience to solve clients most sophisticated and difficult challenges. We are a team of experts in data science, data engineering, artificial intelligence and human ingenuity with industry knowledge that spans every industrialized area -- energy, health care, transportation, retail, social media, and more. By deploying AI responsibly and combining it with our deep industry and analytics expertise, we enable the digital transformation of organizations, extend human capabilities, and make intelligent products and services a reality.

Role Description: Data Scientist Senior Manager
As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering analytics solutions and help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market. This position requires in-depth understanding and use of statistical and data analysis tools.

Key Responsibilities:
You must be able to effectively use and lead multiple teams and projects, using statistical, data mining, machine learning, and/or deep learning techniques in delivering data science insights
Work closely with internal Accenture teams and clients to understand challenges and create solutions
Stay abreast of technology trends in artificial intelligence
Provide thought leadership within projects and leading technologies
Lead multiple teams of data scientists and deliver end to end projects for our clients

Here's What You Need:
Minimum 8 years of experience in data science and use of statistical methodologies
Minimum 8 years of developing machine learning and deep learning methods, including familiarity with techniques in clustering, classification, regression, optimization, recommendation, natural language processing, and other.
Minimum of 8 years of Strong quantitative and analytical skills with minimum 7 years of experience with data science and analytics tools, such as Python, R, Scala, Spark, SQL, Tableau, PowerBI
Bachelors degree in data science and related disciplines as mathematics, statistics, computer science, physics, or equivalent (minimum 12 years) work experience
Bonus points if you have:
Ability to technically lead and deliver complex digital transformation projects with heavy data science components
experience capturing, assessing and making recommendations, including reviewing data for completeness and consistency, analyzing and interpreting data
Strong communication and leadership skills
Passionate, creative, and forward thinking
Drive to learn and master new technologies and techniques
Deadline-driven, organized and able to multi-task
Experience working in retail/products industry
Familiarity with using cloud services (AWS, Azure,GCP), big data tools (Hadoop, Hive, Spark) in data science solutions and data visualization skills using Tableau, PowerBI or similar tools
Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains.
Possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients with a focus on supply chain analytics
Ability to work across industries and with cross-functional organizations
Excellent written and oral communication skills with the ability to clearly communicate results, concepts and ideas to clients
Important information
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture.

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. Our rich diversity makes us more innovative, more competitive and more creative, which helps us better serve our clients and our communities.

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.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Opportunity and Affirmative Action Policy Statement

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

Other Employment Statements

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.


Posted: 2020-11-20 Expires: 2020-12-27

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Data Science Senior Manager

Los Angeles, CA 90006

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