The Role
Aggregate, clean, and transform structured and unstructured data from multiple sources. Apply clustering and ML techniques, build and evaluate models, create visualizations and concise summaries, and collaborate with developers, product managers, and stakeholders to deliver actionable insights.
Summary Generated by Built In
We’re looking for an experienced Data Scientist to join our growing team! If you’re passionate about turning complex, scattered data into meaningful insights and have a strong command of Python and its data libraries — we want to hear from you.
Tasks
* Aggregate and process structured and unstructured data from multiple sources (APIs, databases, CSVs, etc.)
* Clean, transform, and analyze datasets for actionable insights
* Apply clustering techniques and segmentation (e.g., K-Means, DBSCAN, hierarchical clustering)
* Build and evaluate data models for internal tools and business needs
* Communicate findings through clear visualizations and concise summaries
* Collaborate closely with developers, product managers, and business stakeholders
Requirements
* Minimum 3 years of hands-on experience in data science or a similar analytical role
* Strong proficiency in Python and commonly used libraries: pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
* Solid understanding of data structures, statistics, and machine learning fundamentals
* Experience working with relational databases (SQL)
* Ability to structure and interpret complex datasets independently
* Communication skills, both written and verbal
* References from previous projects or employers are required
Nice to Have:
* Experience with cloud platforms (e.g., Azure, AWS, GCP)
* Familiarity with time-series data, anomaly detection, or recommender systems
* Exposure to data visualization tools like Tableau or Power BI
Benefits
We offer a range of benefits to support your growth, wellbeing, and long-term success:
* Modern office in a central location, with collaborative workspaces and a friendly team culture
* Extra vacation days beyond the national standard
* Annual holiday and Christmas bonuses
* Performance-based bonuses tied to individual and team results
* Equity opportunity through our ESOP (Employee Stock Ownership Plan)
Join Recommend as a Data Scientist and innovate content solutions for global brands. Be part of a dynamic team in thriving industry. Your expertise can make a difference!
Tasks
* Aggregate and process structured and unstructured data from multiple sources (APIs, databases, CSVs, etc.)
* Clean, transform, and analyze datasets for actionable insights
* Apply clustering techniques and segmentation (e.g., K-Means, DBSCAN, hierarchical clustering)
* Build and evaluate data models for internal tools and business needs
* Communicate findings through clear visualizations and concise summaries
* Collaborate closely with developers, product managers, and business stakeholders
Requirements
* Minimum 3 years of hands-on experience in data science or a similar analytical role
* Strong proficiency in Python and commonly used libraries: pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
* Solid understanding of data structures, statistics, and machine learning fundamentals
* Experience working with relational databases (SQL)
* Ability to structure and interpret complex datasets independently
* Communication skills, both written and verbal
* References from previous projects or employers are required
Nice to Have:
* Experience with cloud platforms (e.g., Azure, AWS, GCP)
* Familiarity with time-series data, anomaly detection, or recommender systems
* Exposure to data visualization tools like Tableau or Power BI
Benefits
We offer a range of benefits to support your growth, wellbeing, and long-term success:
* Modern office in a central location, with collaborative workspaces and a friendly team culture
* Extra vacation days beyond the national standard
* Annual holiday and Christmas bonuses
* Performance-based bonuses tied to individual and team results
* Equity opportunity through our ESOP (Employee Stock Ownership Plan)
Join Recommend as a Data Scientist and innovate content solutions for global brands. Be part of a dynamic team in thriving industry. Your expertise can make a difference!
Skills Required
- Minimum 3 years of hands-on experience in data science or a similar analytical role
- Strong proficiency in Python and libraries: pandas, numpy, scikit-learn, matplotlib, seaborn
- Solid understanding of data structures, statistics, and machine learning fundamentals
- Experience working with relational databases (SQL)
- Ability to structure and interpret complex datasets independently
- Communication skills, both written and verbal
- References from previous projects or employers
- Experience with cloud platforms (Azure, AWS, GCP)
- Familiarity with time-series data, anomaly detection, or recommender systems
- Exposure to data visualization tools like Tableau or Power BI
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The Company
What We Do
Recommend is an AI and predictive intelligence company that builds specialized products for commercial teams. By analyzing data from the open web, the company helps organizations predict human response to build better products, automations, and outcomes. They specialize in building predictive market intelligence for AI systems and serve agencies and enterprises across marketing, retail, consumer goods, financial services, and technology.
