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Weekend Data Science Jobs in Utah (NOW HIRING)

Understanding of data science priorities and how each contributes to the success of nCino * Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to ...

You will leverage your deep expertise in data science, applied AI, and machine learning to solve complex challenges, enhance our product offerings, and deliver actionable insights that propel our ...

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

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 ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Responsibilities : • Design, build, and maintain scalable and reliable data pipelines through ELT/ETL extraction methods. • Collaborate with data scientists, analysts, and other stakeholders to ...

Manage the execution of data science strategies and initiatives, including the design, development and implementation. * Guide and execute the strategic decision in collaboration with data scientists ...

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 ...

Data Engineer

Provo, UT

$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 ...

Data Engineer

Provo, UT

$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 ...

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 ...

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 ...

Summary Awardco is looking for a results-driven, hands-on leader to build and lead the Data Science function. The Data Operations group is responsible for delivering business insights and high-impact ...

Summary Awardco is looking for a results-driven, hands-on leader to build and lead the Data Science function. The Data Operations group is responsible for delivering business insights and high-impact ...

Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus 6+ years of related experience. Masters degree is a plus. * Strong quantitative background with ...

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Weekend Data Science information

What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

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 is a Weekend Data Science job?

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 are some typical challenges faced by data scientists working specifically on weekends, 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.

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 are popular job titles related to Weekend Data Science jobs in Utah? For Weekend Data Science jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Weekend Data Science jobs? Cities in Utah with the most Weekend Data Science job openings:

$107K - $183K/yr

Full-time

Posted 9 days ago


Job description

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.


Are you a highly motivated problem solver looking for a challenge? Do you want to make a significant impact on complex banking problems and be a driving force in the AI revolution in banking? Then look no further! Our Data & AI team is seeking a Senior Data Scientist to join us in building intelligent automation and insights into our products.
As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify high-impact business challenges and opportunities, analyze complex datasets, extract meaningful insights, and develop/deploy/monitor data-driven solutions. Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data-driven products and services across the banking industry.


 

Essential Functions:

  • Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

  • Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems

  • Experience in large data sets and algorithms

  • Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems

  • Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner

  • Understanding of data science priorities and how each contributes to the success of nCino

  • Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches

  • Extensive experience in developing, deploying, and monitoring complex machine learning models

  • Lead and guide teams in implementing programming best practices and adopting emerging technologies

  • Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.

  • Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.

  • Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.

  • Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.

Qualifications:

Required:

  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education

  • Demonstrated mastery of programming skills in Python or R

  • Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.)

  • Demonstrated mastery of machine learning algorithms and techniques

  • Strong problem-solving skills and ability to work independently and collaboratively

  • Strong experience with SQL or noSQL and database management systems

  • Experience deploying and monitoring models in production

  • Strong understanding of the business domain

  • Ability to translate business questions into analytics projects and deliver actionable insights

  • Flexibility and the ability to be productive in a fast-paced, team environment

  • Excellent verbal and written communication skills for technical and non-technical audiences

  • Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control

Desired:

  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field

  • Experience developing and deploying models using Databricks and mlflow

  • Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight

  • Experience with Agile software development


 

If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.


 

The pay range for this role is based on relative market data and alignment with our compensation philosophy. The range displayed reflects the minimum and maximum of the pay range for each job posting, which is used to determine new hire rates/salaries and takes into consideration multiple factors including but not limited to knowledge, skills, abilities, proficiencies, experience, education, licensures/certifications, as well as business and organizational needs. nCino reserves the right to modify the posted range consistent with our internal practices and external market movement. The recruiter for this job posting can share more compensation details during the recruitment process, as base salary is only one component of the total compensation package per position posted.

The base salary range for this job is:

$107,900.00 - $183,400.00

nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at recruiting@ncino.com.

Our commitment to inclusion and equality includes a strong belief that the diversity of our team is instrumental to our success. We strive to create workplaces where employees are empowered to bring their authentic selves to work.