Data Scientist - Philadelphia, PA/Dallas, TX/Charlotte, NC/Richmond, VA/Rock Hill, SC

Job Title: Data Scientist
Location: Philadelphia, PA/Dallas, TX/Charlotte, NC/Richmond, VA/Rock Hill, SC

Can do Only W2, No C2C

Job Summary:

• Seeking an experienced Data Scientist to analyze complex datasets, build predictive models, and deliver actionable insights that drive business decisions.
• The ideal candidate will have expertise in data preparation, exploratory data analysis, machine learning, and cross-functional collaboration with product, engineering, and marketing teams to solve business challenges.

Key Responsibilities:

• Collect, clean, validate, and preprocess large structured and unstructured datasets to ensure accuracy and consistency.
• Perform Exploratory Data Analysis (EDA) to identify patterns, trends, anomalies, and insights within complex datasets.
• Design, develop, train, and optimize machine learning algorithms and predictive models.
• Build forecasting and classification models to support business objectives.
• Collaborate with product, engineering, and marketing teams to address organizational challenges using data-driven solutions.
• Communicate analytical findings and recommendations effectively to business stakeholders.
• Translate complex data into actionable insights that support strategic decision-making.

Required Skills:

• Data Science
• Data Preparation and Data Cleansing
• Exploratory Data Analysis (EDA)
• Machine Learning
• Predictive Modeling
• Data Validation and Preprocessing
• Forecasting Models
• Classification Models
• Experience working with large structured and unstructured datasets.
• Strong analytical and problem-solving capabilities.
• Ability to interpret data and provide business insights.

Preferred Qualifications:

• Experience collaborating with cross-functional teams including product, engineering, and marketing.
• Knowledge of advanced analytical techniques and model optimization.
• Ability to present technical findings to non-technical stakeholders.
• Experience solving business problems using data-driven approaches.

Best Regards:

Peerbhi SK
Phone:
Email: