Data Scientist

Job Description

We believe work is not a place, but rather a thing you do. Our technology revolves around this core philosophy. We are relentlessly committed to helping people work and play from anywhere, on any device. Innovation, creativity and a passion for ever-improving performance drive our company and our people forward. We empower the original mobile device: YOU!Do you love getting your hands dirty with messy data, and devising ways to make it behave Do you take delight in mastering the tools and techniques of data science, honing your ability to uncover elusive insights lurking in data Do you have an open and inquisitive mind about the world around you, and feel passionate about weaving evidence-driven stories that inspire others to work smarter and live better If so, come join kindred spirits.The Data Science team at Citrix, housed within the financial organization, seeks more powerful and effective ways to supercharge how we organize, connect, and transform diverse data into actionable intelligence. The position provides data analysis and decision support to the planning, analysis and reporting function for product management, route to market, and product marketing, including providing the organization with reports and analysis that can be utilized as the basis for making informed decisions about their business. In addition to the reporting requirements, this role would support predictive modeling efforts within the organization using scientific techniques. The role includes heavy data analysis and research, with the ability to manipulate, analyze, and trend the results. In addition, this person should develop new methods of communicating financial analysis, reporting, and data science models to the greater executive management team to better the current state business and forecast future business growth. This position will be based in our Bangalore, India office. The position requires a self-starter with experience working with an offshore team.Primary Job Responsibilities:

• Wrangle, interpret, and integrate data from diverse sources and systems
• Maintain, develop, and enhance new and existing reports. It is expected that 50% of the time will be spent in meeting reporting requirements.
• Apply and evaluate statistical models and machine learning algorithms to help answer business questions and solve business problems
• Dig beneath the surface to unearth data-driven, consumable insights that help to bust myths, reinforce strategies, or suggest new opportunities for the business
• Create data visualizations and stories that convey key insights to business audiences in an impactful manner, while also seeking innovative solutions for sharing knowledge more widely across the organization
• Maintain and quickly resolve issues related to existing executive level dashboards (built in Tableau)

• Perform and create useful data views in Microsoft SQL environment for easy data consumption that will be used for dashboard reporting and statistical modeling
• Develop, maintain, and enhance existing Python based models
• Develop business metrics around users or customer usage, including providing necessary analysis and supporting the engagement with marketing or product management team.
• Act as subject matter expert for customer and user data; identify key opportunities for the business and products that will ultimately streamline the process
• Apply data science techniques to predict customer and user growth over time
• Develop and articulate compelling qualitative and quantitative business cases for metrics and reporting that are not currently measured and will add value to the product and finance organization
• Analyze bookings and revenue trends and explore correlations with customer/user growth
• Work with the Business Intelligence/IT team to provide requirements and support the development of data marts per our business case

Qualification & Requirements:

• Bachelor s Degree (or equivalent) in Computer Engineering, Applied Mathematics, Statistics, Data Science. Masters Degree in related field preferred. Other degrees with relevant data science experience will be considered.

• 2-5 years of experience in data science, business analytics, and reporting
• Expertise in creating SQL views, procedures, and writing queries is critical
• Hands on experience in data analysis and predictive modeling using Python is required. R experience desirable.
• Experience in effective data exploration and visualization (e.g. Excel, Power BI, Tableau etc.). Advanced Tableau experience desirable.

• Ability to solve business problems using a data driven approach. Experience in implementing and deploying Machine Learning solutions adding business value.
• Background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
• Broad understanding of the fundamentals of statistics and learning theory, including concepts related to significance, uncertainty, randomization, prediction
• Demonstrated experience in working with an offshore team working in a different time zone
• Ability to work with little oversight
• Excellent written and verbal communication skills in English; the ability to convey your message to team members and other stakeholders
• Motivation to succeed and a passion for data science!

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Keyskills :
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