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Data Scientist - AI & Data
Data Scientist - AI & DataTephra • San Francisco, CA, United States
Data Scientist - AI & Data

Data Scientist - AI & Data

Tephra • San Francisco, CA, United States
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Description :

Role : Data Scientist - AI & DataLocation : San Francisco, CA

Responsibilities

  • Data Collection & Preparation :
  • Gather, clean, and preprocess large datasets from various sources
  • Perform exploratory data analysis (EDA) to understand the structure and quality of the data
  • Apply data wrangling techniques to handle missing, inconsistent, or incomplete data
  • Statistical Analysis & Modeling :
  • Use statistical techniques to identify patterns, correlations, and trends in data
  • Develop predictive and prescriptive models using machine learning algorithms
  • Build, test, and optimize models (e.g., regression, decision trees, random forests, SVM, deep learning, etc.
  • Perform hypothesis testing and A / B testing to validate assumptions and recommendations
  • Machine Learning & AI Implementation :
  • Implement machine learning models and algorithms for various business
  • Leverage deep learning techniques and neural networks when necessary
  • Monitor the performance of deployed models, providing regular updates
  • Data Visualization & Reporting :
  • Create interactive and insightful visualizations using tools such as Tableau, Power BI, or libraries like Matplotlib and Seaborn (for Python).
  • Present complex technical findings to non-technical stakeholders
  • Prepare detailed reports and dashboards that track key performance indicators (KPIs) and other business metrics
  • Collaboration & Communication :
  • Work closely with cross-functional teams, including business analysts, product managers, and engineers, to define project goals and requirements
  • Communicate findings, methodologies, and insights effectively to both technical and business audiences
  • Provide actionable recommendations to help drive data-informed decision-making
  • Continuous Improvement :
  • Stay up-to-date with the latest research, tools, and techniques in data science and machine learning.
  • Experiment with and implement cutting-edge machine learning algorithms and techniques.
  • Contributes to the refinement and optimization of existing data models and processes.
  • Data Governance & Ethics :
  • Ensure data integrity and privacy by following best practices in data handling and processing.
  • Work in compliance with data security standards and ethical guidelines.

Requirements

Skills and Qualifications :

Educational Background :

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD is a plus.

    • Technical Skills :

  • Strong proficiency in programming languages such as Python, R, or Java.
  • Solid knowledge of statistical analysis and machine learning techniques.
  • Hands-on experience with data manipulation and analysis using libraries like Pandas, NumPy, Scikit-learn, etc.
  • Familiarity with big data technologies such as Hadoop, Spark, or similar.
  • Experience with databases (SQL, NoSQL) and data extraction techniques.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus.

    • Analytical Skills :

  • Excellent problem-solving abilities and critical thinking skills.
  • Strong understanding of statistical methods, hypothesis testing, and data modeling

    • Soft Skills :

  • Strong written and verbal communication skills.
  • Ability to explain complex technical concepts to non-technical audiences.
  • Detail-oriented with a strong focus on quality and accuracy.

    • Experience :

  • Proven experience (2-5 years) in a data scientist role or similar.
  • Experience in implementing machine learning models in a production environment is preferred.
  • Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch.
  • Knowledge of NLP (Natural Language Processing) and computer vision techniques.
  • Experience working with large-scale datasets in a cloud computing environment.

    • Work Environment

  • Collaborative and fast-paced work environment.
  • Opportunity to work with state-of-the-art technologies.
  • Supportive and dynamic team culture

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    Data Scientist • San Francisco, CA, United States