Sr. Analyst, Data Science

Key Skills

English Proficiency, Machine learning techniques, Python Programming, R Programming, SAS, SQL, Statistical modeling

Job Description

The Role: 

As an Analyst in Data Science, you will analyze and interpret the results of survey research studies that measure customer satisfaction, and provide technical programming expertise working with Python, R, SAS, Excel, and other automation tools. Your job is to work closely with other researchers and scientists in the execution of programs to run advanced statistical modeling, data mining and analysis on survey and non-survey data. 

The Impact You Will Have in This Role:

You will support syndicated studies that address industry-level consumer needs and serve as customer satisfaction benchmarks in a variety of industries such as Automotive, Financial Services, Insurance, Energy, and Telecom. The outcome of your work will be used by clients to help them understand what is important to consumers, how their brand performs relative to their competition, what their brand needs to do to improve and the financial benefit of making these improvements.

 What You'll Be Doing in This Role:

• Organized, detail oriented, and analytical thinker with experience in data modeling/mining, analysis, and reporting.
• Able to leverage broad scope of knowledge including business rules and methodologies when performing basic and advanced analyses on datasets
• Creates and maintains scripts/codes to clean and manipulate data, develop models, accurately calibrate model parameters, validate model performance, and create analytical outputs
• Able to take ownership of projects and work with other individuals and teams to ensure project accuracy and timeliness of information to clients
• Work with data science leads and other department leads in new product development
• Work in collaboration with other team members to develop, test, interpret, and present research on new and innovative approaches, methods, or techniques that can be applied to the advancement of our business
• Knowledge of and ability to work in a cloud computing environment is a plus
• Knowledge of survey design and sampling methodology is a plus

Qualifications of this Role:

• Python (required), SQL, R, SAS, SPSS
• Masters with 2+ years of work experience or Ph.D. in Data Science, Statistics, Math, Computer Science, Engineering, Economics or related fields
• 4+ years of an advanced understanding of statistics and/or machine learning methods
• Must be able to work effectively and collaboratively in a team oriented, global, and multi-cultural environment.
• Fluent in English (read, write and speak)

 The Hiring Manager says:

I’m looking for someone who can work as part of a broader engagement team and can use our data to help companies understand what drives customer satisfaction for their industry. This individual also has to work independently to analyze data using analytic packages (Python, SQL, SAS). If you’re right for this role, you are a self-starter who is able to develop creative solutions to problems, not be afraid to ask questions as you learn our company’s culture and do it all with enthusiasm.

The Way We Work:

• Leader Led
• Remote First
• Foster Flexibility
• Reward Performance
• Time Off Matters