Director, Data Science and Analytics
International Luxury Hotel Association
SQL
Data Scientist – Warranty, Quality
Ford Motor Company
full-time
Posted on:
Location Type: Remote
Location: Remote • New York • 🇺🇸 United States
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
CloudGoogle Cloud PlatformJavaNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
- Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making
- Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
- Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
- Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness.
Requirements
- Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline.
- 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim.
- 2+ years of experience with both supervised and unsupervised machine learning techniques.
- 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or Power BI.
- 1+ years' experience in SQL programming language and relational databases.
- A MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline is strongly preferred.
- Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment.
- Experience with Git and GitHub for version control and collaboration.
- Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java)
- Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail.
- Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc.
- Excellent problem solving, communication, and data presentation skills.
Benefits
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythondata analysismachine learningdata miningpredictive modelingprescriptive modelingSQLdata visualizationlarge language modelsmathematics
Soft skills
problem solvingcommunicationdata presentation
Certifications
Bachelor's degreeMS/PhD
