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.
Senior Data Scientist at BairesDev
We are looking for an outstanding Senior Data Scientist to join BairesDev's Research & Development Team (R&D). This professional will use 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 Will 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 / Data Engineer chapter.
- Collaborate with data product managers to build awesome data products.
- Work with management to prioritize business and information needs.
- Help to spread a 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 / Data Engineer, machine learning, IA, statistical, and other related areas.
- Proficiency with SQL.
- Proficiency in Python, R, or another major programming language.
- Excellent communication skills, and capacity to collaborate and build relationships with non-technical users.
- Strong knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference.
- Hands-on experience with machine learning, like regression classification, clustering, neural networks, feature selection, cross-validation, the 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 deploying machine learning systems to production.
How we do 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.