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