Data Scientist-Costa Rica
World Wide Technology Holding, LLCabout 1 year ago
Los Angeles, California, United States
On-site
Full-time
Junior Level (1-3 years)
Job Description
Required Qualifications
- 4+ years of relevant work experience in data analysis or related field (e.g., as a statistician / data scientist / scientific researcher).
- Fundamental knowledge in fields such as statistics, machine learning, deep learning.
- 4+ years of practical experience developing and deploying production machine learning applications (supervised learning, unsupervised learning).
- 4+ years of programming skills in Python.
- Interest in researching cutting-edge methods in AI, particularly reinforcement learning and federated machine learning.
- Job Specific Qualifications:
- Analysis:
- Expertise in Deep Reinforcement Learning
- Experience with Neural Networks, including CNNs
- Experience applying scientific methodologies to parameter and model tuning
- Experience working with data-driven Python modules such as TensorFlow, Keras, NumPy, SciPi, Pandas, Matplotlib, PyTorch, Scikit-Learn
- Familiarity with the CUDA framework and GPU training/inference
- Experience with version control tools, such as Git
- Problem Solving:
- Solves complex problems with hypothesis-driven data science
- Understanding of data ingestion and transformation
- Capable of running multiple scenarios and picking up the optimal solution
- Capable of understanding advanced mathematical or physical explanations (e.g., Fourier Transform, Power Spectral Density, Monte Carlo simulation) to implement or execute tasks
- Team & Business Skills:
- Works in collaboration with the data science team and mentors junior scientists
- Demonstrated ability to collaborate with a diverse team
- Consistently improves communication skills, both verbally and in written materials
- Demonstrated creativity in problem solving
- Demonstrated leadership and self-direction; willingness to both teach others and learn new techniques
- Flexibility in task switching to accommodate urgent requests or project changes
- Mindful of iterations and quality checks in a smaller team before presenting results to a larger audience
- Raises critical issues when detected
- Analysis:
Benefits & Perks
- Health and Wellbeing: Combined Health Insurance (Dental and Vision), Employee Assistance Program, Wellness program
- Financial Benefits: Competitive pay, Profit Sharing, Life and Disability Insurance, Tuition Reimbursement
- Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Bereavement
- Additional Perks: Employee Discount Program and more!
Required Skills
Deep Learning
Reinforcement Learning
Deep Reinforcement Learning
Scikit-Learn
Statistics
Team Collaboration
TensorFlow
SciPy
CNNs
Data Analysis
Neural Networks
Federated Machine Learning
Keras
Hypothesis-Driven Problem Solving
Data Ingestion and Transformation
Pandas
Mathematical Modeling
CUDA
NumPy
PyTorch
Python Programming
Machine Learning
Git
Matplotlib