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Weekend Data Science Jobs in Utah (NOW HIRING)

Staff Data Scientist Join Us at Pura-Reimagining Fragrance for the Future At Pura, we believe life ... By blending artistry and science, Pura allows users to design their own "scentscapes" that enhance ...

Staff Data Scientist Join Us at Pura--Reimagining Fragrance for the Future At Pura, we believe life ... By blending artistry and science, Pura allows users to design their own "scentscapes" that enhance ...

Staff Data Scientist Software Engineering Org · Reports to Director of Software Engineering · ... By blending artistry and science, Pura allows users to design their own "scentscapes" that enhance ...

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...

Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

Master of Science degree or higher in Computer Science, Statistics, or Mathematics is preferred. * Aptitude for medical informatics is preferred. What You'll Need * Works closely with Application ...

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... Data exploration, hypothesis creation (from business and product goals), testing algorithms ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality * Develop and maintain documentation, including data dictionaries, workflow ...

Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs. * Utilize Python for data analysis, employing libraries such as pandas, plotly, and ...

Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs. * Utilize Python for data analysis, employing libraries such as pandas, plotly, and ...

Showing results 41-60

Weekend Data Science information

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Utah?

The most popular types of Data Science jobs in Utah are:

What cities in Utah are hiring for Weekend Data Science jobs?

Cities in Utah with the most Weekend Data Science job openings:

Data Scientist and AI Specialist

NexOne, Inc.

Clearfield, UT • On-site

Full-time

Posted 15 days ago


Job description

About the Role
We are seeking an innovative and driven Data Scientist / AI Specialist to join our advanced technology team. In this role, you will architect, build, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs), Vector Databases, and Knowledge Graphs. You will play a pivotal role in bridging the gap between raw unstructured data and intelligent, context-aware applications that drive business impact.
Key Responsibilities
  • LLM Integration & Fine-Tuning: Design, implement, and optimize applications utilizing Large Language Models (LLMs) via APIs and open-source frameworks (e.g., LangChain, LlamaIndex).
  • Vector Database Architecture: Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate, pgvector) for high-performance semantic search and retrieval-augmented generation (RAG) pipelines.
  • Knowledge Graph Development: Design and construct Knowledge Graphs to structure complex domain data, integrating them with LLMs and vector search to improve reasoning and context retrieval (GraphRAG).
  • Python Scripting & Pipeline Automation: Write robust, production-ready Python code to automate data ingestion, preprocessing, embedding generation, and model evaluation.
  • Collaboration & Deployment: Work closely with cross-functional teams (Software Engineers, Data Engineers, and Product Managers) to deploy AI models into scalable cloud production environments.
Required Qualifications
  • Experience: 3+ years of professional experience in Data Science, Machine Learning, or Artificial Intelligence, with a strong focus on NLP and generative AI.
  • Programming: Advanced proficiency in Python scripting and modern ML libraries
  • Education: BS in Technical Domain