Data Scientist - AI & Data

Tephra Inc.; San Francisco (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative company in the heart of San Francisco is seeking a Data Scientist to join their dynamic team. This role involves gathering and preprocessing large datasets, applying statistical analysis, and developing machine learning models to drive data-informed decisions. You'll work closely with cross-functional teams, presenting complex findings in an accessible manner. If you're passionate about leveraging data to solve real-world problems and thrive in a collaborative environment, this is the perfect opportunity for you to make a significant impact in a fast-paced industry.

Qualifications

• 2-5 years of experience in a data scientist role or similar.
• Experience implementing machine learning models in production.

Responsibilities

• Gather, clean, and preprocess large datasets from various sources.
• Develop predictive models using machine learning algorithms.
• Communicate findings to non-technical stakeholders.

Skills

Python

R

Java

Statistical Analysis

Machine Learning

Data Manipulation

Problem-Solving

Communication Skills

Education

Bachelor's or Master's in Data Science

PhD in related field

Tools

Pandas

NumPy

Scikit-learn

Hadoop

Spark

SQL

NoSQL

TensorFlow

Keras

PyTorch

Job description

• 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
• 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
• 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
• 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
• 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.
• 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