Senior Data Science Engineer

Recruiter
Financialforce
Location
Harrogate
Posted
10 Feb 2018
Closes
15 Feb 2018
Contract Type
Permanent
Hours
Full Time
ABOUT FINANCIALFORCE FinancialForce is the leading cloud ERP for the new services economy.The #1 ERP native to the Salesforce platform, FinancialForce unifiesdata across the enterprise in real-time, enabling companies to rapidlyevolve their business models with customers at the center. Founded in2009 and headquartered in San Francisco, FinancialForce is backed bySalesforce Ventures, Technology Crossover Ventures, AdventInternational, and UNIT4. For more information, visit www.financialforce.com. THE ROLE Design and development of models from analytics built on customers'user behaviour data, financialforce data & 3rd party data to deliverthe highest possible quality functionality that will enable ourcustomers to be successful. Ranging a focus on delivery of generalusers' analytics to high-end analytics & modelling responsibilityacross broader functions of our products. Using a range of Analytical & Data Modelling, and Data Sciencetechniques, including supervised and unsupervised machine learning,clustering, decision trees, predictive analytics, naive bayes, markovchain, survival analysis, neural net, deep learning and AI using toolssuch as SAS, SPSS, R, Python, Weka and KNIME, and be able to deploymodels in a statistically robust way to measure impact. RESPONSIBILITIES Provides Analytics & Modelling strategy to a variety of Productstakeholders internally, and externally Influencers and Investors. Supports stakeholders with the provision of data products, and canconfidently talk through their data products and the potentialopportunities which their research & analytics has demonstrated. Conduct deep, and complex data analysis, and use to drive delivery ofdata rich highly-usable products which demonstrate findings to stakeholders. Put across reasoned arguments for where there is an opportunity forvalue add, and ROI. Spot potential opportunities in the market and advise their managementteam of the impact of these. Provides suggested methodologies, research techniques and data scienceproposals, whilst supporting less experienced members of the teamthrough their Analytics responsibilities. Provides in depth quantitative and qualitative data which can beproductised, providing evidence which is needed to form strategy andsupport strategic decisions. Confident in their presentation of data, delivery of Data ScienceProducts and able to effectively and efficiently use data reporting tools. Mentor and coach less experienced members of the team and support themthrough the projects which they have responsibility for. Advise the Product Management on best-practice in Analytics &Modelling from their in depth analysis and the findings. Drive, own and maintain projects. Work closely with the management team to drive the strategic vision forthe Data Science team. ESSENTIAL SKILLS/QUALIFICATIONS Extensive experience with a Bachelors or Master's degree (orequivalent) or a directly relevant PhD without experience; or equivalentwork experience, e.g. experience of Analytics & modelling in abusiness environment. Expert competency with enterprise Analytics and modelling softwaretooling and methodologies eg SAS, SPSS, R, Python, Weka and KNIME Strong knowledge and applied expertise of best-practices. Experience of running multiple, large programmes of work from inceptionto completion Proven track record of influencing and inspiring cross-functional peersand senior leaders by generating and implementing new ideas Has passed professional advanced level external certifications in thepractice and/or applicable technologies. In Scrum Master role Is a Certified Scrum master Has experience of working in an Agile Scrum environment DESIRABLE SKILLS/QUALIFICATIONS Experience of coordinating and leading other colleagues. Courseware in management, project management, agile, communication andpersonal effectiveness. Agile experience Salesforce experience - provided by Dice ADVENT, AGILE, CLOUD, CLUSTERING, DATA ANALYSIS, DATA MODELLING, DEGREE, ERP, MACHINE LEARNING, PHD, PREDICTIVE ANALYTICS, PRODUCT MANAGEMENT, PROJECT MANAGEMENT, PYTHON, SALESFORCE, SAN, SAS, SCRUM, SPSS

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