At Smeetz, our mission is to transform the way visitor attractions approach sales and revenue optimization. We've developed an integrated commerce Software-as-a-Service (SaaS) platform that leverages AI, designed to empower attractions like theme parks, museums, and theaters with an all-in-one solution for managing, marketing, and pricing their offerings effectively.
As a rapidly expanding, product-driven SaaS startup, we're on the lookout for a Data ScientistIntern to join our dynamic team. This role presents an exciting opportunity to make a significant impact on our growing company. You'll collaborate closely with a close-knit team and play a pivotal role in shaping the future of this industry. In this role, you'll have the opportunity to work on challenging problems and learn from a very motivated and qualified team.
We offer a a fully remote work model. Join us in driving innovation and making a difference in the world of visitor attractions.
Duration: 6 months
What you will do
You will work closely with the engineering, design, sales and marketing teams to define and execute the data & ML strategy, develop new models, and improve current models.
Your specific responsibilities will include:
- Work on dynamic pricing model and get new ideas to improve it
- Build accurate forecasting for customers
- Analyze data coming from dynamic pricing and find insights
- Build some visualization to display to our customers
- Create a smart booking flow
- Improve our sentiment analysis model
- Create new dashboards with insightful plots for our clients
- Create and Improve our data pipeline
- Improve data warehouse
- Maintain the dashboards, ensuring data shown is correct
- Work in collaboration with Key Account Managers to take care of client requests and provide good knowledge about our dashboards.
- Maintain the datasets we are using to be sure our data is still relevant
Requirements
- Passion for data science and eagerness to learn in a hands-on environment.
- Ability to thrive in a collaborative, multidisciplinary team setting.
- Demonstrated initiative and a proactive approach to tasks.
- Currently pursuing or recently completed a degree in Data Science or a related field.
- Basic Knowledge in Python (knowledge of PHP and Javascript is a plus).
- Familiarity with Machine Learning techniques.
- Strong data visualization skills.
- Basic understanding of MLops on AWS is desirable.
- Capability to work effectively under pressure and meet project deadlines.
- Excellent analytical and problem-solving abilities with meticulous attention to detail.
- Adaptability to evolving work environments and a willingness to embrace new challenges.
Benefits
- You will have the opportunity to take part in a fast growing scale-up, make a difference and manage your time and priorities.
- You will work in a highly performance-driven environment while also enjoying collaborative team building activities.
- Your successes will be recognised and rewarded with increased earning potential and ownership responsibilities.
- Through this position, you will have the opportunity to grow in an international environment, working with professionals from diverse cultural backgrounds, gaining global perspective, and expanding your skills .