Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries – powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 505,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com.
Your client’s eyes probably glaze over when you discuss in detail logistic regression, cluster analysis, neural nets and other segmentation models, but they certainly appreciate your uncanny ability to utilize those to lower their marketing costs and improve marketing effectiveness. Or perhaps they rely on you to provide analytics that stimulate sales, strengthen customer loyalty and generate purchases. If you’ve earned a reputation for your analytics expertise, Accenture may be the perfect place to take the next step in your career journey.
As a Data Science professional, the individual will help drive sales and solutioning of data science/analytics engagements, manage and/or supervise project delivery, mentor teams, build new capabilities, support/contribute to thought leadership and building new skills. The candidate should be able to seamlessly work with Client teams in positioning data science/analytical capabilities and with help of them drive an deliver data science/analytics engagement.
The successful candidate should have strong consultative, business and communication skills in addition to quantitative ability. As well as be exposed to the challenges of using statistics in a business setting, such as incomplete data, biased data, large data sets, low signal-to-noise ratios, high variance and multiple objective functions. Requires being creative and resourceful and will utilize traditional statistical methodologies as well as newer techniques from computational statistics and data mining and big data capabilities.
Degree in a relevant field like statistics, computer science or applied maths, physics or relevant subjects or 3+ years of experience in computer science, applied mathematics, or other quantitative/computational discipline.
Strong background in statistical concepts and calculations
3+ years of experience with real data
Innovative and strong analytical and algorithmic problem solvers
3+ years of experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation
3+ years of experience with statistical computing tools like R, SAS, and SPSS
Data engineering experience, including SQL and experience manipulating structured and unstructured data sources for analysis.
Experience in one or more statistical software packages such as R, SAS, SPSS, etc
Experience in one or more programming languages such as Python, R, etc
Experience in one or more machine learning solutions such as TensorFlow, IBM Watson, etc
Experience in one or more tools for visualization such as Tableau, Qlik, D3, etc
Good understanding of statistical modelling and machine learning
Good understanding of machine learning techniques such as Neural Networks, Random Forest, etc
Ability to meet travel requirements, when applicable
Have a minimum of 3-5 years in relevant experience
Have a minimum of Bachelor degree
Professional Skill Requirements
Proven success in contributing to a team-oriented environment
Proven ability to work creatively and analytically in a problem-solving environment
Desire to work in an information systems environment
Excellent leadership, communication (written and oral) and interpersonal skills
Entry or junior level positions are also available for candidates with less experience.
You will also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
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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