Job Description
Who we are
Optimal Dynamics is on a mission to automate and optimize the logistics industry through the use of advanced analytics. We are based on more than three decades of R&D at Princeton University and represent the most sophisticated technology ever developed for the logistics industry. Optimal Dynamics is a high-growth early-stage company with ~75 employees (but changing very quickly!) and $56M in funding.
About the team
We are a team of bright, kind, and solution-oriented people focused on creating value for our customers. We can solve problems individually, but understand that the best solutions are found when the team brainstorms ideas together. We are excited about balancing the need to deploy new solutions quickly and designing solutions that are secured, reliable, maintainable and scalable for the long run.
As a Data Analyst, you will be primarily responsible for supporting deployment by calibrating our AI solution to model customer networks. We are a team of bright, kind, and solution-oriented people focused on delivering value to our customers. We are laser-focused on time to value and customer delight.
Who you are:
- You are a quick learner and excited about learning new technologies
- You are detail-oriented and adept at drawing real-world conclusions from data sets
- You are adept at communicating and collaborating effectively with others
- You are comfortable talking to stakeholders and understanding their business needs
- You have the ability to work on multiple projects at the same time
Responsibilities:
- Support customer-facing Deployment and Solutions Engineers by tuning and calibrating customer instances based on their business requirements
- Clean, manipulate, and assess customer data to ensure integrity and accuracy
- Aid in the successful execution of deployments and Proof of Concept analysis and follow on requests
- Improve analysis processes to create robust and reliable results
- Communicate data findings to leadership teams in a professional and timely manner
Qualifications:
- BS in Data Analytics, Data Science, Business Intelligence, Computer Science, Industrial Engineering or related degree
- Experience with Unix command line navigation and shell scripting
- Experience quickly manipulating data in Microsoft Excel, and interpreting the real-world implications
- Programming experience in Python for data analysis (pandas, numpy, scipy, scikit-learn, etc)
- Demonstrated ability to troubleshoot issues and find resolutions
- Ability to prioritize work and manage multiple projects and demands simultaneously
- Ability to work in a fast-paced, agile environment
Nice to have:
- Experience with relational databases and SQL
- Understanding of file structures (XML, EDI, flat file, etc.)
- Experience in the logistics industry or with Transportation Management Systems
Where:
- New York, NY or Remote
Salary:
- $90,000-110,000
Benefits
- Equity
- Health / Dental / Vision 100% covered for employee and 50% for dependents
- Life Insurance
- Flexible Spending Account (FSA)
- 401(k) match
- Unlimited PTO (vacation, personal days, sick days, jury duty, military leave, bereavement)
- 11 Holidays
- Paid Parental Leave for all employees
- Fitness Membership reimbursement
- Commuter benefits
- Flexible work from home policy
Optimal Dynamics is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and employees. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law.
Optimal Dynamics is committed to working with and providing access and reasonable accommodation to applicants. If you require an accommodation, please reach out to [email protected] once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Date Posted
02/17/2023
Views
7
Similar Jobs
Distributed Systems Engineer (L6) - Commerce Product Data Engineering - Netflix
Views in the last 30 days - 0
View DetailsDistributed Systems Engineer (L5) - Commerce Product Data Engineering - Netflix
Views in the last 30 days - 0
View DetailsSoftware Engineer (L5) – Commerce Data Engineering, Foundations Team - Netflix
Views in the last 30 days - 0
View DetailsBusiness Development Manager - Life, Health, & Medicare - QuinStreet
Views in the last 30 days - 0
View Details