Job Description

Data Science professional drive supporting client\'s business challenges around marketing costs and improve marketing effectiveness. Or perhaps provide analytics services that stimulate commerce sales, strengthen customer loyalty and generate purchases.

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 with deep experience in logistic regression, cluster analysis, neural nets and other segmentation models and Generative AI.

Minimum 15 years of experience in analytics and data platform and consulting.
Minimum 10 years of experience in Telco and Banking.
Candidates with background Telco and Banking are highly preferred.
In depth understanding and experience of customer and marketing analytics and data monetization.
Familiarity with e commerce, online advertising, SEO, email marketing, mobile and use of social media.
Strong background in statistical methods and calculations.
Experience in handling real data with innovative and strong analytical and algorithmic problem solvers.
Experience in designing and managing data platforms.
Experience in solutioning of services, data platform and client value shaping.

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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