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Manager Data Science H1B Jobs in Maine (NOW HIRING)

Bachelor's degree in Information Technology, Mathematics, Statistics, Computer Science, Data Analytics, or a related field preferred. * Prior leadership, people management, or technical team ...

Bachelor's degree in Information Technology, Mathematics, Statistics, Computer Science, Data Analytics, or a related field preferred. * Prior leadership, people management, or technical team ...

... external agency management. Position Summary and Role Impact: The Director, Data Science ... Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Qualifications : Required : • Master's degree in Computer Science, Engineering, Applied ... project managers, and faculty experts. • Willingness to participate in client meetings in a ...

Specialist, Data Scientist

Augusta, ME · On-site

$125 - $140/hr

Independently delivers data science solutions, analytical insights, and AI-enabled capabilities ... You will partner closely with Product Managers, Software Engineers, Business Analysts, Data ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely ... Ability to manage assigned tasks, meet deadlines, and maintain high-quality work. * Proactive ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely ... Ability to manage assigned tasks, meet deadlines, and maintain high-quality work. * Proactive ...

Data Scientist III

Portland, ME · On-site

$96K - $155K/yr

... management capabilities. Customer Accountabilities: * Works closely with business owners to identify opportunities and serves as an ambassador for data science * Is familiar with the business context ...

In this role, you will focus on executing applied data science work-running analyses, supporting ... Efficiently interpret results and communicate findings and potential value to influence manager and ...

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Manager Data Science H1B information

What is a Manager Data Science H1B?

A Manager Data Science H1B is a professional who oversees data science teams or projects for a company in the United States while working under an H-1B visa. This role typically involves managing data scientists, coordinating analytics projects, making strategic decisions based on data, and ensuring the delivery of actionable insights. The H-1B visa allows U.S. employers to temporarily employ foreign workers in specialty occupations such as data science management. The manager is responsible for project planning, mentoring team members, and collaborating with other departments to leverage data in business decisions.

What are some common challenges faced by a manager data science in leading cross-functional projects?

A Manager Data Science often encounters challenges such as aligning stakeholders with varying technical backgrounds, ensuring data quality across different sources, and balancing project timelines with evolving business needs. Effective communication is crucial when translating complex analytical findings into actionable insights for non-technical teams. Additionally, managing and mentoring a diverse team of data scientists while fostering collaboration with engineering, product, and business departments is key to driving successful project outcomes.

What are the key skills and qualifications needed to thrive as a manager data science, and why are they important?

To thrive as a Manager Data Science, you need a deep understanding of statistical analysis, machine learning, and data engineering, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or R, experience with data visualization tools (such as Tableau or Power BI), and familiarity with cloud platforms (like AWS or Azure) are commonly required, along with relevant certifications. Outstanding leadership, communication, and project management skills set top candidates apart by enabling them to lead cross-functional teams and translate complex data insights into actionable business strategies. These skills are crucial for driving data-driven decision-making and ensuring the successful delivery of analytics initiatives within an organization.

What is the difference between Manager Data Science H1B vs Data Scientist H1B?

AspectManager Data Science H1BData Scientist H1B
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience in team managementBachelor's or Master's in Data Science, Statistics, or related field; technical skills focus
Work EnvironmentLeads data science teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, supports business decisions
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareCommon in tech firms, consulting, research institutions

The main difference between Manager Data Science H1B and Data Scientist H1B lies in their roles and responsibilities. Managers oversee teams and strategic projects, requiring leadership skills, while Data Scientists focus on technical analysis and modeling. Both roles require strong data skills and relevant education, but the managerial position emphasizes team management and project oversight.

What are popular job titles related to Manager Data Science H1B jobs in Maine?

For Manager Data Science H1B jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Manager Data Science H1B jobs in Maine look for?

The top searched job categories for Manager Data Science H1B jobs in Maine are:

What cities in Maine are hiring for Manager Data Science H1B jobs?

Cities in Maine with the most Manager Data Science H1B job openings:

USA Whatnot Manager, Data Science

Experimentation Jobs

Poland, ME • On-site

$120 - $160/hr

Other

Posted 15 days ago


Job description

Why Here?

Whatnot leads as the largest livestream shopping platform in North America and Europe. Users buy, sell, and discover items like trading cards, fashion, and electronics across hundreds of categories. The company pioneers live commerce at Western scale with no existing playbook. As a remote co-located team, Whatnot draws inspiration from values and hubs in the US, UK, Ireland, Poland, Germany, and Australia. Named Forbes’ #1 Best Startup Employer in America, it empowers passions into thriving businesses.

What Will You Do?

As a Manager, Data Science at Whatnot, you will lead a team tackling high-impact marketplace challenges in growth, discovery, and ecosystem health. You will build robust measurement systems with KPI frameworks, dashboards, and business reviews. Additionally, you will elevate experimentation quality through advanced test design, observability, and cross-functional analytical strategies.

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