πCanada
Senior Data Scientist
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Nearsure
πRemote
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Summary
Join Nearsure's LATAM remote team and work on challenging data science projects for US clients. You will leverage your skills in Google BigQuery, Python, and Google Colab to extract insights, build predictive models, and optimize data pipelines. Enjoy a 100% remote work environment with paid time off, national holidays, sick leave, and a refundable annual credit. Nearsure prioritizes work-life balance and offers a supportive team environment with various team-building activities. The ideal candidate possesses a Bachelor's degree, 3+ years of relevant experience, and strong analytical skills. Advanced English proficiency is required for effective communication with US clients.
Requirements
- Bachelor's Degree in Computer Science, Engineering, or a related field
- 3+ Years of experience working in data science projects, encompassing data gathering, cleaning, and model building
- 3+ Years of experience writing and optimizing queries for data extraction, transformation, and loading, specifically in Google BigQuery
- 3+ Years of experience working with Python for data analysis and model training, with a focus on using Google Colab
- Advanced English Level
Responsibilities
- Extract, transform, and analyze large datasets using SQL (Google BigQuery) and Python
- Develop and maintain data pipelines to ensure efficient data processing
- Utilize Google Colab and Python libraries like Pandas and NumPy for data manipulation and analysis
- Implement vector-based representations of data and apply cosine similarity for relatedness measures
- Design and develop interactive dashboards using Google Looker for data visualization
- Work with LLMs (Large Language Models) and APIs, including Gemini API, for data prediction and transformation
- Conduct manual data labeling and validation, including web research
- Ensure data quality and integrity by implementing validation techniques
Preferred Qualifications
- Familiarity with data manipulation and analysis libraries such as Pandas and NumPy
- Experience in generating vector representations of data and using cosine similarity for relatedness measures
- Proficiency in SQL and experience with relational databases, with a focus on Google BigQuery
- Experience in developing and maintaining data pipelines
- Familiarity with designing and developing dashboards using data visualization tools, preferably Google Looker
- Experience with LLMs and APIs, especially the Gemini API for data prediction and transformation tasks
- Strong attention to detail and commitment to data quality
- Ability to perform manual data labeling and validation tasks, including web research
Benefits
- USD π² Salary compensation
- 100% remote work
- Paid time off according to your countryβs law without affecting your monthly salary to ensure that you have plenty of time to rest and recharge
- Your countryβs national holidays π΄ allow you to celebrate important events and traditions with your loved ones
- Sick or medical leave π· when needed so that you can take a day off to take care of your health, and have wellbeing without worrying about work
- Refundable annual credit πΈ for you to spend on your favorite perks
- Teambuilding activities π€π€ such as coffee breaks, tech talks, and after-work gatherings with your Nearsure colleagues, to feel close to our community
- A day off during your birthday week π₯³π to enjoy with your family and friends, ensuring that you have a chance to make memories on your special day
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