Data Scientist II
Posted on 2/3/2024
Vail Systems

201-500 employees

Carrier-grade multi-channel communication solutions provider
Company Overview
At Vail they develop innovative technology to enhance the way people communicate. Their mission is to create business value for their clients and growth opportunities for their employees by developing solutions that inspire people to interact freely and authentically.
Data & Analytics
Fintech

Company Stage

N/A

Total Funding

N/A

Founded

1991

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

1%

1 year growth

10%

2 year growth

10%
Locations
Chicago, IL, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Power BI
Python
Data Science
SQL
Tableau
Natural Language Processing (NLP)
Data Analysis
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Bachelor’s degree in Computer Science, Mathematics, or a related field, or a graduate degree in Data Science or a related technical field
  • 2+ years of experience as a data scientist or analyst
  • Proficient in data analysis
  • Experience wrangling and cleaning big data
  • Knowledge of coding and advanced data manipulation
  • Knowledge of statistics
  • Experience collaborating cross-functionally with developers and other highly technical personnel
  • Experience with data visualization tools such as Power BI and Tableau
  • Experience working with SQL and Python
  • Excellent communication skills
Responsibilities
  • Leverage advanced data analysis techniques and cutting-edge technologies to innovate and solve complex problems unique to Prosodica’s needs
  • Analyze data for trends and patterns
  • Develop reports and presentations for external and internal stakeholders, including preparing data visualizations and demos
  • Design and integrate data-driven improvements to the data collection and analysis process, ensuring robust, efficient, and scalable solutions
  • Collect structured and unstructured data and source missing data
  • Organize, clean, and validate data
  • Build machine learning models through all phases of development, from concept to design, training, evaluation, validation, and productization
  • Continually research industry-related topics such as new solutions for speech analytics, natural language processing, large language models, automatic performance measurements, and real-time coaching to humanize our customers’ contact center experiences
Desired Qualifications
  • Multiple medical, dental, and vision plan options
  • Company-paid life insurance, short and long-term disability
  • 401(k) savings plan with company match (50% on first 6% of employee contribution)
  • 31 days total annual PTO
  • Annual Bonus Program
  • Paid maternity and paternity leave
  • Relocation allowance
  • Employee referral bonus
  • Gym membership
  • Technical and Professional Development stipend