Data Science Consultant Level I

Key Skills

Java Programming, Python Programming, Machine learning techniques, R Programming, Logic-analyze, Statistical modeling, Mathematical optimization, Effective communication skills

Job Description

Data Science Consultant Level I 

We help innovative organizations design and develop trustworthy, human-centered AI. We are a team of creative thinkers, relationship builders, and problem solvers from diverse backgrounds, both professionally and personally. We believe that diversity leads to Trusted AI, which is what we hang our hat on.

Why Pandata might be right for you:

• We advocate for Trusted AI, placing an emphasis on fairness, transparency, and privacy. We further this mission by consistently growing our multicultural, multi-discipline, and inclusive team.
• We offer ongoing education to grow data scientists into client facing-ready data science consultants in 6 - 12 months.
• We are a small but growing team. Your experience will be well rounded and impactful.
• We have a strong culture that places an emphasis on living our core values: be approachable, win together, tame uncertainty, pursue growth, and cultivate trust.
• Pandata Cares is a program that ensures our team members have access to health and wellness resources, as well as providing unique incentives tied to performance.
• You will work on fast-paced, cutting edge projects across a wide range of industries and use-cases.
• We put humans first in AI. If you like mixing your data science with relationship building, you’ll love being a data scientist at Pandata.
• We work hard but make time to have fun!
• We are growing!

Why Pandata might not be right for you:

• We are a small company (10 people). If you like big companies where everything has already been built, now might not be the right time to join the team.
• We are a scale-up. Priorities and responsibilities change regularly to keep up with our evolving business.
• We are consultants, which means we build and nurture relationships with our clients. If building models is primarily what you want to do, we may not be the right fit for you.

What you will do:

• Partner with data science consultants to help gather client’s business and information needs
• Translate business problems into data science problems and work with the consulting team to develop appropriate models and solutions
• Identify, analyze, and interpret trends or patterns in complex data
• Build machine learning and AI models using standard and state of the art techniques such as natural language processing and model explainability
• Present information using data visualization techniques and tools
• Develop reports and presentations to communicate findings and recommendations
• Build and develop dashboards in business intelligence tools like PowerBI and Tableau
• Continue to grow your knowledge of data science tools, platforms, and processes
• Contribute to Pandata’s internal innovation through rapid prototyping and building demos
• Demonstrating an appreciation for and ability to build strong relationships with key stakeholders, decision makers, and influencers - cultivating these relationships along the way
• Adding value to clients beyond problem solving by exploring opportunities to improve their day-to-day operations, turning short-term SOWs into long-term, collaborative relationships.
• Up to 10% travel may be required

Requirements:

• Undergraduate degree in quantitative field (mathematics, statistics, engineering, etc) or equivalent certification or at least 2+ years of professional experience in data science or related field
• Track-record of problem solving and ability to work both independently and with a team
• Experience developing and validating machine learning models using R or Python (Python preferred, please share portfolio if available)
• Excellent communication, writing, and presentation skills
• Comfortable gathering requirements and facilitating conversations with clients
• Ability to explain sophisticated data science concepts in an approachable manner
• Strong understanding of statistical, mathematical and machine learning concepts
• Capable of conveying information that affects change and demonstrates results – including actionable reporting
• Track record of bridging the gap between business problems and analytics

Benefits include:

• Performance-based bonuses
• 401k plan with match
• Health, dental, and vision
• Potential for growth to Data Science Consultant Level II
• Yearly learning budget