Job Description

Position Title: 
Data Science Manager (Multiple Positions)

Responsibilities: 
Data Science Manager (Multiple Positions)  (Accenture LLP; Boston, MA): Address client's operational challenges by using big data and providing new insights from advanced predictive and optimization models. Collect big data from disparate data sources by interacting with the client's IT team. Design models, algorithms, and visualizations that will help companies distill insights from huge volumes of chaotic data. Interpret analytical models, conduct analysis to gain insights into the root of the clients' business problem, propose potential solutions to their problems, and assist in quantifying improvements in their operations and supply chain metrics. Create high impact business strategies and roadmaps for solution implementation, to help clients reap the benefits of big data analytics on an ongoing basis. Supervise a team of analysts and consultants to gather data across multiple systems, and interpret clients' problem and convert them into analytical solutions. Conduct project and issue management (status reporting, issue reporting, budget reporting) for assigned scope of work, and make decisions that impact the team through regular consultation with senior management. Adhere to strategic direction set by senior management. Interact with client and internal senior management on a regular basis.

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Qualifications

BASIC QUALIFICATIONS: 

Must have a Bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Business Analytics or related field, plus 5 years of progressive post-baccalaureate experience in the Operations Analytics consulting industry.


ADDITIONAL QUALIFICATIONS: 

Of the required experience, must have experience in each of the following: Data wrangling and manipulation using SQL, pandas Python package, and dplyr R package; Time series forecasting techniques, including moving average, exponential smoothing, ARIMA, and UCM; Machine learning algorithms, including Random forest, Gradient boosting, XGBoost; Deep learning algorithms, including RNN and LSTM; Linear programming and Mixed integer programming using Solvers, including PuLP, CPLEX, and Gurobi; Data visualization using tools, including Tableau and Power BI. 

Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.

   

To apply, please click the ‘APPLY’ button.  


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

 

#LI-DNI

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.

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.

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

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