Data Scientist

GetJobSmart; Sacramento (CA); Presencial; USD 150 000 - 217 000; Tempo integral

Resumo da oferta

Nimbus North in Sacramento, CA is seeking a Data Scientist to develop data-driven solutions, analyze large datasets, and build predictive models. You will create compelling visualizations and present insights to stakeholders, while collaborating with data engineers and software teams.

The role requires a bachelor’s degree, strong machine learning and statistical analysis skills, and proficiency in Python and R, with experience using Tableau or Power BI. Office environment with standard hours.

Qualificações

• Bachelor's degree in a relevant field required.
• Strong knowledge of machine learning and statistical analysis.
• Experience with data science projects in business settings.

Responsabilidades

• Analyze large datasets to identify trends and insights.
• Develop and implement predictive models to solve business problems.
• Create data visualizations to communicate findings to stakeholders.
• Mentor team members and collaborate with cross-functional teams.

Conhecimentos

Python

R

Data analysis

Leadership

Formação académica

Bachelor's degree in a relevant field

Ferramentas

Tableau

Power BI

Descrição da oferta de emprego

Nimbus North, a leading technology company specializing in data analytics and artificial intelligence, is seeking a Data Scientist in Sacramento, CA. This full-time position offers competitive compensation and benefits.

As a Data Scientist, you will develop and implement data-driven solutions to complex business problems. Your tasks include analyzing large datasets to identify trends, developing predictive models, and creating data visualizations to communicate insights.

You will collaborate with the data engineering and software development teams in Sacramento, CA. Our workplace fosters innovation and continuous learning.

The annual salary range for this position is $150,000 to $217,199, with benefits not specified. This role involves managing a team of professionals, overseeing project timelines, and ensuring the successful delivery of key initiatives. The ideal candidate will possess strong leadership skills, excellent communication abilities, and a proven track record in their field. They will be responsible for developing and implementing strategic plans, mentoring team members, and driving innovation within the organization. The workplace is typically an office environment, requiring the candidate to be present and available during core business hours. The position demands a bachelor's degree in a relevant field, along with several years of experience in a similar role. Familiarity with industry-standard tools and software is essential, as is the ability to work collaboratively with cross-functional teams.

To excel in this role, you should have a strong background in data science, focusing on machine learning and statistical analysis. Proficiency in Python and R, and experience with Tableau or Power BI, are required.

Interested candidates should submit their applications by [valid_through], ensuring all required documents are included. This includes a completed application form, a resume detailing relevant experience and skills, and a cover letter tailored to the specific role. Candidates should also prepare a portfolio showcasing their work, if applicable, and any necessary certifications or licenses. The application process typically involves an initial review of submitted materials, followed by a phone or video interview with a hiring manager. Successful candidates may be required to complete a technical assessment or skills test, depending on the position. The workplace environment is collaborative, with a focus on teamwork and innovation. Candidates should be comfortable using standard office tools such as email, project management software, and communication platforms. The role requires adaptability and the ability to meet deadlines, with a flexible schedule that may include occasional overtime.

Developing and implementing data-driven solutions, analyzing large datasets, identifying trends, developing predictive models, creating data visualizationsBackground in data science with a focus on machine learning and statistical analysis, proficiency in Python and R, experience with data visualization tools like Tableau or Power BI