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Senior Data Scientist

Reno, Nevada Arvato Finance Services Ltd

Date: 13-May-2018
Location: RENO, NV, US, 89511
Year: 2018

Company: Arvato Digital Services LLC – Arvato FS USA
Requisition ID: 14981

Overall Job Purpose:
This role can be located in Reno, NV or Atlanta, GA. Reporting to the Director Analytics & Consulting Services and working closely with the Global Client Lead, Project Manager and Sales Manager, the (Senior) Data Scientist develops and runs analytical models deploying various Machine Learning algorithms and Advanced Analytics tools. This also includes pre-sales support (consultative selling) in close collaboration with our sales team.

The (Senior) Data Scientist acts as the key point of contact for all data driven questions of our clients in order to deliver Financial Advanced Analytics projects along the Order-2-Cash process. Key areas:

– Create a data-driven culture
– Ensure the client data is relevant, connected, accurate and consumable
– Utilize machine Learning & Advanced Analytics capabilities to predict what will/could happen, and identify risks
– Improve Operational Excellence of our clients: Continuously improve the speed, efficiency and accuracy of capabilities, processes, and solutions

The (Senior) Data Scientist is part of the Arvato Analytics & Consulting Services team that supports through Data Intelligence Services, Advanced Applications & Analytics services, Reporting Services and Program Management Services in an onshore/offshore mix with our partner.

Job Duties

* Provide data-driven business insights and analytics support along the customer life cycle/order-2-cash process
* Work closely with the Analytics & Consulting Services team to spearhead and implement business analytics models and to deliver end-to-end client requests that are of high quality and in a timely fashion
* Develop innovative and effective approaches to solve client’s analytics problems and communicate results and methodologies
* Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems
* Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo-location information or social media
* Perform extensive data pulls and create datasets for business users to enable clients to build self-serving reports and dashboards
* Develop and maintain reports and dashboards as per client requests and meet client expectations
* Proactively mine and analyze data in order to find meaningful patterns and derive process improvements in order to discuss results with the Business Consultant and/or client
* Develop and maintain structured process documents, methodology documents and data dictionaries
* Provide necessary documentation to enable business users to build self-serving reports and dashboards wherever necessary
* Acclimatize to new technologies and situations with ease, completing multiple assignments simultaneously while maintaining high standards

Key Result Areas

* Lead data discovery processes with client stakeholders to identify the business requirements and the expected outcome to be able to build impactful analytical models
* Acquire data from primary or secondary data sources and maintain databases/data systems
* Identify, analyze, and interpret trends or patterns in complex data sets
* Create dashboards for visualizing the data
* Provide and support with meaningful presentations about data insights and related business impact
* Transfer data insights into business related statements and respective impact
* Formulate and document based on use case specifications, business rules and requirements
* Effective planning skills to successfully manage multiple priorities and assignments

Person Spec and Competencies (Please read in conjunction with the Key Result Areas)

Essential Qualifications, Training and Experience:
* Bachelor’s/Master’s/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degrees
* Strong footprint (5+ five) in analytical modeling and developing statistical models as well as applying machine learning algorithms
* Highly proficient and experience in working on data modeling projects using e.g. SAS, R, Python, Azure ML, KNIME, SQL
* Experience working in projects following Agile software development life-cycle methodologies
Desirable Qualifications, Training and Experience:
* Strong experience in SQL, R, Python, SAS, Tableau, Power BI or equivalent tools
* Background in Statistics/Operations research
Personal Attributes required:
* Highly customer focused with excellent analytical and problem-solving skills
* Highly motivated self-starter who is innovative and quick to learn
Excellent communication and interpersonal skills

‘Arvato Financial Solutions is an Equal Opportunities Employer, Embracing Diversity in the workplace’
Disclaimer
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

About our company:
Arvato – the spirit of solutions!

We at Arvato provide a comprehensive range of services and solutions to our business partners in the consumer electronics, high-tech, telecommunication, networking and industrial sectors. With more than five decades of experience and our global footprint we create value for our customers and ensure that they are well equipped for the challenges of their markets.

Arvato is a part of Arvato AG/ Bertelsmann, an internationally networked outsourcing provider. More than 65,000 employees design and implement solutions for all kinds of business processes across integrated service chains, for business customers from around the world. Its portfolio includes all services related to the creation and distribution of printed materials and digital storage media, as well as data management, customer care, CRM services, supply-chain management, digital distribution, financial services, professional and custom IT services, and the direct-to-customer distribution of educational media. Arvato is a wholly-owned subsidiary of Bertelsmann SE & Co. KGaA.

Nearest Major Market: Reno
Nearest Secondary Market: Tahoe
Job Segment: Database, Scientific, Scientist, Information Systems, Consulting, Technology, Engineering, Science

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