Data Scientist

Role: Data Scientist

Role Type: Full-Time (No 3rd Party or Contractors)

Compensation: Up to $246K DOE Bonus

Location: San Francisco, CA

Years of experience: 7

Key Competencies: Data collection, data analysis, data modeling, Machine learning, AI, data visualization, data governance, programming language, data manipulation, big data, SQL, cloud.

Overview:

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.

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

350748

Job Type: Full-time

Pay: $165,750.00 - $246,675.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Compensation Package:

• Yearly bonus

Schedule:

• Monday to Friday

Education:

• Bachelor's (Required)

Experience:

• AI: 3 years (Required)
• Natural language processing: 2 years (Required)
• Data: 1 year (Preferred)
• Data science: 6 years (Required)

Ability to Commute:

• San Francisco, CA 94164 (Required)

Work Location: In person

Salary : $165,750 - $246,675