Title: Sr. Data Scientist Work location: DALLAS , TX Job Summary. - Experience 12+ years
- Excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, DNN, Naive Bayes, Support Vector Machine, etc.).
- Expertise in applying statistical, advanced analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems.
- Strong programming skills using Python, SQL, PySpark.
- Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn.
- Strong analytical, critical-thinking skills with demonstrated ability to identify/analyze/synthesize data and use the data to drive decisions.
- Superior communication and persuasion skills, talent for storytelling, visualization, and creating insights from data to deliver practical recommendations for business action.
- Good knowledge of calculus, linear algebra, statistics, and probability.
- Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.
- Support Vector Machine, etc.).
- Expertise in applying statistical, advanced analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems.
- Strong programming skills using Python, SQL, PySpark.
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