Job description

Client: Franklin Templeton

Location: 17 Location

Work Mode: Hybrid or WFO

Experience: 8 – 10 years

Job Description: Python Data Analytics Engineer

· Must have hands-on experience with Python for Data Science including libraries like pandas, numpy, scikit-learn, flask, sql-alchemy, pytest, koalas

· Strong understanding and experience in SQL is required

· Strong understanding of Statistics and Exploratory charts is required

· Must have thorough understanding of basic ML models like – Regression, Decision Trees, Naïve Bayes, k-Means clustering, kNN etc.

· Understanding of advanced algorithms like Hidden Markov Models, SVM, Xgboost, RNN, CNN, tSNE etc. would be good to have

· Knowledge of PySpark would be good to have

· Knowledge of Tensorflow and Keras would be good to have

· Knowledge of NLP algorithms is good to have

· Experience working in a Fintech company in data related roles would be a great match

· Ideal experience range – 3-6 years

Job Type: Part-time

Salary: $60.00 - $65.00 per hour

Schedule:

• 8 hour shift

Ability to commute/relocate:

• Clare, MI 48617: Reliably commute or planning to relocate before starting work (Required)

Experience:

• flask, sql-alchemy, pytest, koalas: 8 years (Required)
• pandas, numpy, scikit-learn,: 8 years (Required)
• SQL: 9 years (Required)
• Statistics and Exploratory charts: 9 years (Required)
• k-Means clustering, kNN: 6 years (Required)
• Regression, Decision Trees, Naïve Bayes: 7 years (Required)
• Hidden Markov Models, SVM, Xgboost, RNN, CNN, tSNE: 8 years (Required)
• PySpark, Tensorflow and Keras: 9 years (Required)

Work Location: One location

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