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Freelance Data Science Startup Jobs in Arizona (NOW HIRING)

Senior Threat Detection Engineer

Scottsdale, AZ · On-site

$115.80K - $158.90K/yr

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Knowledge of data science and machine learning concepts as applied to security analytics. Why Join ...

Senior Threat Detection Engineer

Scottsdale, AZ · On-site

$115.40K - $158.20K/yr

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Knowledge of data science and machine learning concepts as applied to security analytics. Why Join ...

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Collaborate with IT, Security, and Data Science teams to integrate Google Chronicle's capabilities ...

Senior Project Engineer, NA

Phoenix, AZ · On-site

$98.30K - $128.10K/yr

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology ... Oversee OFCI equipment release, delivery, deficiencies, startup and commissioning * Ensure project ...

Senior Project Engineer, NA

Phoenix, AZ · On-site

$98.30K - $128.10K/yr

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology ... Oversee OFCI equipment release, delivery, deficiencies, startup and commissioning * Ensure project ...

Senior Cybersecurity Analyst

Scottsdale, AZ · On-site

$101.20K - $130.50K/yr

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Collaborate with IT, Security, and Data Science teams to integrate Google Chronicle's capabilities ...

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Freelance Data Science Startup information

What are the key skills and qualifications needed to thrive as a Freelance Data Science Startup founder, and why are they important?

To thrive as a Freelance Data Science Startup founder, you need strong expertise in data analysis, machine learning, programming (Python/R), and a solid educational background in statistics or computer science. Familiarity with tools like Jupyter, TensorFlow, cloud platforms (AWS, GCP), and data visualization software, as well as relevant certifications, is highly beneficial. Exceptional communication, client management, and entrepreneurial skills help differentiate successful founders in this space. These skills are crucial for delivering high-quality solutions, winning clients, and sustaining a competitive edge in the evolving data science market.

What are some unique challenges freelance data scientists face when working with startups, and how can they effectively manage them?

Freelance data scientists working with startups often encounter challenges such as rapidly changing project scopes, limited historical data, and the need to wear multiple hats. Since startups typically operate in fast-paced environments, priorities can shift quickly, requiring adaptability and strong communication skills. To manage these challenges, it's important to set clear expectations upfront, maintain transparent communication with stakeholders, and design flexible data solutions that can evolve as the business grows. Building strong relationships with both technical and non-technical team members can also help ensure project alignment and successful outcomes.

What is a Freelance Data Science Startup?

A Freelance Data Science Startup is a small business or entrepreneurial venture where individuals or small teams offer data science services independently, rather than working as full-time employees for a single company. These startups provide solutions such as data analysis, machine learning, predictive modeling, and data visualization to various clients on a project basis. Freelance data science startups often work with businesses that need expertise for specific projects or lack in-house data science resources. They may operate remotely and handle multiple clients simultaneously, allowing for flexibility and diverse experience. This model is popular among data scientists seeking autonomy and a variety of challenging projects.

What is the difference between Freelance Data Science Startup vs Data Analyst?

AspectFreelance Data Science StartupData Analyst
CredentialsRelevant degrees, certifications in data science or analyticsDegree in statistics, data analysis, or related fields
Work EnvironmentIndependent, project-based, remote or on-siteTypically in corporate or organizational settings, often full-time
Employer & IndustrySelf-employed or startup clients across various industriesEmployers in finance, marketing, healthcare, etc.
Search & Comparison IntentLooking for freelance opportunities or startup roles in data scienceSeeking data analysis roles within organizations

Freelance Data Science Startups focus on independent, project-based work involving advanced data modeling and machine learning, often serving multiple clients. Data Analysts typically work within organizations analyzing data to inform business decisions. While both roles require analytical skills, freelance data science startups emphasize entrepreneurship and technical expertise, whereas data analysts focus on operational data insights within a company.

What are the most commonly searched types of Data Science Startup jobs in Arizona? The most popular types of Data Science Startup jobs in Arizona are:
What are popular job titles related to Freelance Data Science Startup jobs in Arizona? For Freelance Data Science Startup jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Freelance Data Science Startup jobs in Arizona look for? The top searched job categories for Freelance Data Science Startup jobs in Arizona are:
What cities in Arizona are hiring for Freelance Data Science Startup jobs? Cities in Arizona with the most Freelance Data Science Startup job openings:
Analytics Researcher III

Analytics Researcher III

1872 Consulting

Tempe, AZ • On-site

Full-time

Medical, Vision, Life

This job post has expired today. Applications are no longer accepted.


Job description

Analytics Researcher III Life Science & Healthcare

The Analytics Researcher III is responsible for prioritizing and conducting research efforts, including collaborating with management and leaders with vision to direct the focus of a project. Encouraged to apply sophisticated thinking principles to analyze data to uncover valuable, relevant, and impactful insights. Provides insight through various mediums to help internal and external partners make strategic decisions, be informed on the Life Science & Healthcare sector, and enable leaders with vision to raise their profile. Receives minimal guidance; must be able to execute tasks independently and exercise judgment to align projects to business objectives, coordinate research, and develop content. Requirements:

  • Strong academic experience
  • Bachelor's degree in Finance, Economics or similar, related backgrounds.
  • 7 years professional experience with 1 year at an investment bank, financial services, equity research or similar experience.
  • 4+ years of financial analysis experience within the life sciences sector; strong understanding of the venture ecosystem preferred.
  • Proven track record of success and evidence of strong project management skills.
  • Experience blogging, experience writing about Life Science and Healthcare preferred Knowledge on the macro and innovation economies is important Understanding of Life Science & Healthcare industry Knowledge of financial statements and finance principles Strong data analysis skills.
  • Familiarity with databases such as Preqin, PitchBook, CapIQ
  • Technical skills: Proficient at Excel, Power Point, Tableau Preferred: MBA or relevant graduate degree CFA or enrolled in CFA program Familiarity with Python Experience working with C-level internal clients and external clients
  • Prior experience at a startup or with an investor is helpful

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014