Data Scientist
Job – ID 202402.TX0041
Excellent long- term contract opportunity for Data Scientist working on development of new cloud base applications in Dallas, TX.
Job Responsibilities:
Data Analysis and Modeling:
Analyze large datasets to extract actionable insights and identify trends.
Develop and implement advanced statistical models and machine learning algorithms.
Predictive Analytics:
Build predictive models for forecasting, classification, and recommendation systems.
Evaluate model performance and refine algorithms for continuous improvement.
Data Cleaning and Preprocessing:
Clean and preprocess raw data for analysis, ensuring data quality and integrity.
Collaborate with data engineers to develop and maintain efficient data pipelines.
Feature Engineering:
Identify relevant features and variables for model development.
Conduct exploratory data analysis to inform feature selection and extraction.
Collaboration:
Collaborate with cross-functional teams to understand business requirements and goals.
Communicate findings and insights to both technical and non-technical stakeholders.
Algorithm Development:
Develop and deploy machine learning models into production environments.
Stay updated on the latest advancements in machine learning and data science.
Visualization:
Create data visualizations and dashboards to present findings and insights.
Use tools such as Tableau, Power BI, or similar for effective data storytelling.
Testing and Validation:
Conduct rigorous testing and validation of models to ensure accuracy and reliability.
Perform A/B testing and other experiments to evaluate model effectiveness.
Qualifications:
Education:
Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
Experience:
Proven experience as a Data Scientist with [X] years of relevant experience.
Demonstrated success in developing and deploying machine learning models.
Technical Skills:
Proficiency in programming languages such as Python or R.
Experience with machine learning libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Statistical Analysis:
Strong background in statistical analysis and hypothesis testing.
Familiarity with advanced statistical techniques.
Data Manipulation:
Proficient in data manipulation and analysis using SQL.
Experience with data preprocessing tools and techniques.
Communication Skills:
Excellent communication and presentation skills.
Ability to convey complex technical concepts to a non-technical audience.
Problem-Solving Skills:
Strong analytical and problem-solving abilities.
Ability to approach business challenges with a data-driven mindset.
Additional Preferred Skills:
Experience with big data technologies (e.g., Hadoop, Spark).
Knowledge of natural language processing (NLP) for text data analysis.
Industry-specific expertise (e.g., finance, healthcare, e-commerce).
How To Apply:
Prospective candidates are invited to submit their resume and cover letter to James.T@allruva.com
Apply Now