Data Scientist (Machine Learning) Full-time

Job Title: Data Scientist (Machine Learning)

Location: Texas – Remote

Job Type: Contract

Job Summary:

We are seeking a highly skilled and innovative Data Scientist specializing in Machine Learning to join our dynamic team. You will be responsible for building, testing, and deploying machine learning models that solve real-world problems. The ideal candidate will have a strong background in data science, statistical analysis, and proficiency in machine learning frameworks. Your work will contribute to [insert what the business focus is, such as enhancing customer experiences, optimizing business operations, driving innovation, etc.].

Key Responsibilities:

• Data Analysis & Exploration:
  Gather, clean, and process large datasets from various sources to extract meaningful insights. Perform exploratory data analysis (EDA) to identify trends, patterns, and outliers in data.
• Model Development:
  Design, build, and evaluate machine learning models (supervised and unsupervised) for classification, regression, clustering, or other tasks using frameworks like TensorFlow, Scikit-Learn, PyTorch, or Keras.
• Algorithm Optimization:
  Fine-tune model parameters, optimize hyperparameters, and experiment with different machine learning techniques to improve model performance.
• Feature Engineering:
  Create and select appropriate features from raw data that can enhance model performance and accuracy.
• Deploy and Monitor Models:
  Deploy models into production and monitor their performance, ensuring scalability and reliability of ML systems. Implement A/B testing to measure the impact of ML solutions.
• Collaboration:
  Work closely with data engineers, software developers, and business stakeholders to integrate ML models into production systems and drive data-driven decision-making.
• Documentation and Reporting:
  Maintain detailed documentation of all processes, models, and code. Communicate results and insights clearly to technical and non-technical stakeholders.
• Stay Updated:
  Keep up with the latest advancements in machine learning, AI, and data science methodologies to apply innovative solutions.

Required Skills & Qualifications:

• Technical Skills:
  
  • Proficient in Python, R, or Java for data analysis and model development.
  • Hands-on experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-Learn.
  • Strong knowledge of statistical modeling, probability theory, and mathematical optimization.
  • Experience with SQL and NoSQL databases for querying and handling large datasets.
  • Familiarity with big data tools like Hadoop, Spark, or Kafka is a plus.
  • Knowledge of cloud platforms such as AWS, Google Cloud, or Azure for deploying models.
• Machine Learning Techniques:
  
  • Proficient in supervised and unsupervised learning, including classification, regression, clustering, dimensionality reduction, and time-series analysis.
  • Experience with deep learning, neural networks, and advanced NLP techniques is a plus.
  • Familiarity with reinforcement learning and graph algorithms is beneficial.
• Soft Skills:
  
  • Strong problem-solving skills with an analytical mindset.
  • Excellent verbal and written communication skills for clear reporting of results.
  • Ability to work both independently and in a team environment.
  • Strong attention to detail and ability to manage multiple projects.