Data Scientist

Data Scientist Allruva Technology Services Irving, TX Job Details Contract 22 hours ago Qualifications SQL databases AI platforms (beyond public GPTs) Computational framework Machine intelligence Inferential statistics Model deployment Machine learning libraries Machine learning frameworks Data analysis software Full Job Description 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