Principal Data Scientist

Job description

Location: San Diego

Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.

Operations professionals work on projects across a range of business processes, business applications and information technology. They may provide technology services, such as application management, infrastructure management and systems integration, or they may deliver business process outsourcing services, including finance and accounting, procurement and human resources. Depending on the role, outsourcing professionals may be based at a client’s office or in one of Accenture’s 50 delivery centers around the world.

Job Description:

The Principal Data Scientist will be part of Accenture Analytics as a Service Core Data Scientist team. They will be managing and coordinating with the team that identifies and develops advanced analytics statistical models, machine learning methods and solutions for Accenture operations clients to improve various business outcome indicators.

Desired profile

Qualifications :

Basic Qualifications:
·  Masters or Ph.D. (Computer Science, Statistics, Engineering, Physics, Mathematics, Economics)
·  Minimum 5 years' of Data Science experience for Ph.D. candidates and 7 years for Masters candidates
·  Minimum 5 years' of work experience in relevant domains (F&A, Procurement, Fraud, Infrastructure Analytics, eCommerce, Security, Retail, Supply Chain Health Care, Pharma, Retail) – with hands on experience handling data driven decisions
·  Minimum 5 years of experience in at least one of the following – Supervised and Unsupervised Learning, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models
·  Minimum of 5 years of experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments
·  Minimum 3 years of experience in statistical software - , SAS, C, C++, Java , Python
·  Minimum 3 years of programming experience (C, C++, Java, SAS, Python)

Preferred Qualifications:

·  Familiarity with relational databases and intermediate level knowledge of SQL
·  Ability to think creatively to solve real world business problems
·  Ability to work in a global collaborative team environment
·  Experience leading or collaborating with a team of data scientists in developing and delivering machine learning models that work in a production setting
·  Knowledge of UNIX or Linux environments
·  Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc.
·  Experience working with large data streaming technologies like Spark, Flink, etc.
·  Familiarity with relational databases and intermediate level knowledge of SQL
·  Proficient verbal and written communication skills in English

Applicants for employment in the US must Applicants 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 (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

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

Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity

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.