Senior Data Scientist

February 14

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Nearsure

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Nearsure is a company specialized in digital transformation, focusing on GenAI business transformation, low code journey development, and enterprise platform optimization. They offer custom software development, product and software development, and customer experience solutions. Nearsure is known for its staff augmentation and scale augment services, delivering excellence through their technical expertise and regional talent hubs in Latin America. They have partnerships with industry leaders like Microsoft, Adobe, Salesforce, and ServiceNow, ensuring early access to new platform features. Their studios model fosters innovation and business strategy, supporting over 500 projects completed for Fortune 500, tech unicorns, enterprises, and mid-market companies. Nearsure prioritizes long-term client relationships and is focused on providing high client ROI and talent retention.

Nearshore staffing • Software development • Node.js • Mobile • Frontend Web Development

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• As a Data Scientist, you will work on projects that involve data gathering, cleaning, transformation, and model building. • You will leverage Google BigQuery, Python, and Google Colab to extract insights, build predictive models, and optimize data pipelines. • The ideal candidate is highly analytical, detail-oriented, and passionate about working with data to drive business impact. • 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.

🎯 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. • 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. • Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

🏖️ Benefits

• USD 💲 Salary compensation. • 100% remote work 🏢 but if you feel like connecting with people you can visit coworking spaces all over LATAM allowing you to expand your professional network. • Paid time off according to your country’s law without affecting your monthly salary to ensure that you have plenty of time to rest and recharge. • Your country’s national holidays 🌴 allow you to celebrate important events and traditions with your loved ones. • Sick or medical leave 😷 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 💸 for you to spend on your favorite perks. • Teambuilding activities 🤜🤛 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 🥳🎂 to enjoy with your family and friends, ensuring that you have a chance to make memories on your special day.