Data Scientist

Simarn Solutions; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Simarn Solutions is seeking a Data Scientist / Machine Learning Engineer with 9–10 years of experience to develop and deploy data science and machine-learning solutions. Strong Python, SQL and cloud-based analytics platform skills are required to support the full ML lifecycle.

The ideal candidate will perform data exploration, feature engineering, model development, validation and productionization of ML solutions in a cloud environment.

Qualifications

• 9–10 years of Data Science / Machine Learning experience.
• Hands-on Python for data science and ML.
• Strong SQL for data analysis and data preparation.
• Knowledge of ML and statistical modeling.
• Experience with data preparation, exploration, and preprocessing.
• Experience with feature engineering for ML models.
• Experience with model development, validation, and evaluation.
• Experience with productionization and deployment of ML solutions.
• Experience with cloud-based data platforms.
• Understanding end-to-end ML lifecycle.

Responsibilities

• Develop and deploy data science and machine-learning solutions.
• Perform data exploration and feature engineering.
• Develop and implement machine-learning and statistical models.
• Perform model validation and evaluation.
• Prepare and process data for machine-learning solutions.
• Productionize machine-learning and data science solutions.
• Work with Python and SQL for data analysis and modeling.
• Utilize cloud-based data/analytics platforms to support data science and machine-learning solutions.

Skills

Python for ML

SQL

Data exploration

Feature engineering

Model validation

Model deployment

Cloud platforms

End-to-end ML lifecycle

Job description

Job Title: Data Scientist / Machine Learning Engineer – Python | SQL | Machine Learning | Statistical Modeling

Work Authorization: USC & GC only

Job Summary

We are seeking an experienced Data Scientist / Machine Learning Engineer with 9–10 years of Data Science experience to develop and deploy data science and machine-learning solutions.

The ideal candidate will have strong hands‑on experience in Python, SQL, machine learning/statistical modeling, data preparation, model evaluation, and cloud‑based data/analytics platforms.

Key Responsibilities

• Develop and deploy data science and machine-learning solutions.
• Perform data exploration and feature engineering.
• Develop and implement machine-learning and statistical models.
• Perform model validation and evaluation.
• Prepare and process data for machine-learning solutions.
• Productionize machine-learning and data science solutions.
• Work with Python and SQL for data analysis and modeling.
• Utilize cloud-based data/analytics platforms to support data science and machine-learning solutions.

Skill Requirements

• 9–10 years of Data Science / Machine Learning experience.
• Strong hands‑on experience with Python for data science and machine-learning solutions.
• Strong experience with SQL for data analysis and data preparation.
• Strong knowledge of machine learning and statistical modeling.
• Experience with data preparation, exploration, and preprocessing.
• Experience with feature engineering for machine-learning models.
• Experience with model development, validation, and evaluation.
• Experience with productionization and deployment of machine-learning solutions.
• Experience working with cloud-based data and analytics platforms.
• Strong understanding of the end‑to‑end machine-learning lifecycle.

Ideal Candidate

The ideal candidate is a technically strong Data Scientist / Machine Learning Engineer with 9–10 years of experience who can work across the complete machine-learning lifecycle. The candidate should be comfortable using Python and SQL, performing data preparation and feature engineering, developing and evaluating machine-learning models, and deploying solutions in cloud-based data and analytics environments.