Fully remote | Complete engagement job
Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.
At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.
We are currently looking for an exceptionally talented Senior Data Scientist to join our team. You will be responsible for extracting insights from complex data sets, developing recommender systems, and applying advanced analytical techniques to drive strategic decision-making and optimize business outcomes.
Functional Responsibilities:
- Designing models with a user-centric output, such as recommender systems tailored for various applications including offer design, consumer behavior prediction for purchases, and churn prediction, among other functionalities.
- Conduct exploratory data analysis to uncover hidden patterns and extract valuable insights that contribute to business growth and optimization.
- Utilize predictive modeling and forecasting techniques to support decision-making processes and improve operational efficiency.
- Continuously monitor model performance, assess data quality, and refine models to ensure accuracy and reliability.
- Stay up to date with the latest advancements in data science and technology, and identify opportunities to apply emerging methodologies to enhance existing models and processes.
Qualifications:
- Minimum of 4 years of professional experience in Data Science, Machine Learning, or a related field.
- Strong proficiency in programming languages such as SQL, Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of machine learning algorithms, statistical models, and data mining techniques.
- Proficient in SQL and experience working with databases and data querying.
- Problem solver: proactively implements solutions to improve business
- Exceptional communication skills in English (B2-C2), including the ability to convey complex technical concepts, collaborate effectively in team environments, and deliver impactful presentations to diverse audiences.
Our Benefits:
- Ownership through equity participation.
- Annual company retreat.
- Education bonus for continuous learning.
- Company-wide winter break.
- Paid time off.
- Optional in-person events and meetups.
- Tailored career roadmaps.
- High-performance culture.
Skills Required
- Minimum of 4 years of professional experience in Data Science, Machine Learning, or a related field.
- Strong proficiency in SQL.
- Strong proficiency in Python.
- Experience with TensorFlow.
- Experience with PyTorch.
- Experience with scikit-learn.
- Deep understanding of machine learning algorithms, statistical models, and data mining techniques.
- Experience working with databases and data querying.
- Experience designing recommender systems, predictive modeling, forecasting, and churn prediction.
- Experience monitoring model performance, assessing data quality, and refining models.
- Exceptional communication skills in English (B2-C2).
- Proactive problem-solving and implementation of solutions to improve business outcomes.
What We Do
Factored (backed by Andrew Ng's AI Fund and deeplearning.ai) helps leading tech companies select, upskill, and build world-class data science, machine learning and AI engineering teams much faster and more cost effectively. Our engineers have been personally vetted, educated, and mentored by some of the most talented and recognized AI educators and engineers from Silicon Valley, Stanford University and deeplearning.ai.
