Data Scientist
Job Location:
Dallas, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
8 days ago
Vacancies:
1 Vacancy
Job Summary
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: 1-
Email: