Senior Data Scientist
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Description:
At 5X, we help companies organize their data and make it actionable. Founded by engineers who built data platforms at hypergrowth companies, we saw first-hand the complexity and fragmentation plaguing modern data stacks. That’s why we created 5X — an end-to-end data and AI platform that unifies data tooling, streamlines operations, and empowers teams to build with data without drowning in integrations and vendor sprawl.
Responsibilities
- Understand and analyse client's business requirements to design and implement effective data solutions.
- Create and optimize data models to support client reporting and analytics needs.
- Proactively communicate with clients to provide project updates and address any issues or concerns.
- Comfortable to travel to meet customers in the US and go deeper on projects
- Provide mentorship and guidance to junior team members.
- Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes.
Qualifications
- We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions.
- Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development.
- Experience in designing, developing, and deploying machine learning models into production environments.
- Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks.
- Experience in working with ML modules such as scikit-learn, tensorflow
- Proficiency in SQL and Python for data manipulation and analysis.
- Experience in working with python modules such as pandas, numpy, matplotlib
- Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions.
- Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus.
- Experience with modern data stack tools (such as fivetran,dbt)
- Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision.
About 5X
- We’re a global, remote-first company building the platform we wish we had — and today, it powers the data teams building what’s next. At 5X, we combine deep technical expertise with a culture of ownership, creativity, and fun. Whether you're designing data pipelines or hosting team trivia, we believe in working hard, delivering exponential value, and enjoying the journey. Why work with us?
- We prioritize Outsized Impact: Everything we do is centered around driving exponential value to our customers. Our customers find it impossible to think of a world outside of 5X.
- We are committed to Holistic Wellness: The 4 empires which determine our overall wellbeing are the mental, emotional, physical and spiritual empires. At 5X prioritize all 4.
- We wholeheartedly embrace remote work: If we can’t build it from a hammock in Bali, we’re doing something wrong. 5X fully embraces remote work. We trust you will find the right balance.
- Transparency is fundamental to us: We put everything on the table for everyone to see. This means that you have our permission to ask the tough questions and we will answer. We don't like playing political games.
- Togetherness is at the core of our culture: We work together to maximize our potential. We are there for each other and treat others as we expect to be treated. This is the 5X Family and we are better together!
- Offsite: 1 team offsite a year to incredible destinations. Check out our recent offsites here: Thailand, Sri Lanka and Bali
Know about the Company
Website: https://5X.co/
LinkedIn: https://www.linkedin.com/company/datawith5X/mycompany/
Glassdoor: https://www.glassdoor.co.in/Reviews/5X-Reviews-E6110869.htm
5X in 2 minutes: https://www.youtube.com/watch?v=45Ppi00Lw7
