Senior Data Scientist - Remote Work

at  Bairesdev

At BairesDev®, we’ve been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world’s Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you’re taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
Senior Data Scientist at BairesDev
We are looking for outstanding Senior Data Scientist to join BairesDev’s Research & Development Team (R&D). This professional will be responsible for using data and machine learning techniques to help the business automate and scale decision making, mainly by producing advanced data analysis reports and data-based models to infer and predict patterns.

What You’ll do:

• Help to improve data literacy and the overall analytical environment across the company.
• Handle both structured and unstructured data using SQL and other programming languages.
• Perform advanced data analysis and report results.
• Tell the story behind data in a compelling manner for business people.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Propose solutions and strategies to business challenges.
• Help to design and execute experiments for hypothesis testing.
• Participate actively in discussions and decisions regarding the whole Data Science chapter.
• Collaborate with data product managers to build awesome data products.
• Work with management to prioritize business and information needs.
• Help to spread data-driven mindset and to improve data literacy. Be a data evangelist.

Here’s what we are looking for:

• 3+ years of experience with data science, machine learning, IA, statistical, and other related areas.
• Proficiency with SQL.
• Proficiency in Python, R, or another major programming language.
• Excellent communication skills, capacity to collaborate and build relationships with non-technical users.
• Strong knowledge of probability and statistics that may include experimental design, predictive modeling, optimization, and causal inference.
• Hands-on experience with machine learning, like regression classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance tradeoff, model explainability, NLP, etc.

Desirable:

• Experience with people analytics or growth.
• Experience with data visualization tools.
• Good understanding of the engineering challenges to deploy machine learning systems to production.

How we make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive

• Help to improve data literacy and the overall analytical environment across the company.
• Handle both structured and unstructured data using SQL and other programming languages.
• Perform advanced data analysis and report results.
• Tell the story behind data in a compelling manner for business people.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Propose solutions and strategies to business challenges.
• Help to design and execute experiments for hypothesis testing.
• Participate actively in discussions and decisions regarding the whole Data Science chapter.
• Collaborate with data product managers to build awesome data products.
• Work with management to prioritize business and information needs.
• Help to spread data-driven mindset and to improve data literacy. Be a data evangelist