Data Scientist

Job description

DESCRIPTION

Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it.

We're looking for business analyst who will work closely with various stakeholders world-wide such as Product Management, Finance, Operations, Regional Capacity Planners, Hiring and Training to help them make data-driven business decisions. In this role, the Business Analyst will support Global Planning by leading weekly, monthly, and quarterly business review processes; analyzing data to drive prioritization work, and completing ad-hoc analysis such as understanding impact of Human Centered Product Design on Customer Service Associate (CSA) effectiveness and deep-diving on impacts on automation. The successful candidate will be a self-starter, comfortable with ambiguity and a thought leader, with the ability to deep dive while thinking big. The ideal candidate must thrive in a fast-paced environment, have a strong sense of curiosity and initiative, focus on generating results within tight deadlines, and maintain a high standard of personal and professional integrity and ethics.

Desired profile

BASIC QUALIFICATIONS

· Bachelors or Master's Degree in Computer Science, Systems Analysis, or related field
· 3+ years of relevant experience in a business analyst, data analyst or statistical analysis role
· 3+ years' experience in data modeling, ETL development, and Data Warehousing
· 3+ years' experience with BI/DW/ETL projects.
· Strong background in data relationships, modeling, and mining
· Technical guru; SQL expert
· Strong communication and data presentation skills
· Strong problem solving ability
· Advanced Microsoft Office skills, particularly Excel and analytical platforms
· Experience in developing requirements and formulating business metrics for reporting, familiarity with data visualization tools, e.g. Tableau
· Analytical horsepower to break down complex problems, and a strong will to get things done and deliver results
· Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
· Excellent organizational skills including prioritizing, scheduling, time management, and meeting deadlines
· Demonstrated ability to work effectively with BI Engineers and Data Scientist to mine the right data sources efficiently and accurately
· Superior verbal and written communications skills are a must, as well as the ability to work effectively with multiple teams and external organizations