Data Scientist - Analytics (Fully Remote)

Acceler8 Talent; United States; Remote; USD 120,000 - 130,000; Full time

Job summary

Acceler8 Talent is looking for a Data Scientist - Analytics to join their team fully remote. The role involves writing Python scripts and analyzing large-scale data while providing solutions to customer-specific problems. Candidates should have over 5 years of experience in Python and SQL, with a strong background in relevant fields like cybersecurity or fintech.

Benefits

401(k)

Qualifications

• Proficient in Python and SQL; 5+ years’ experience.
• US-based; able to attend annual meetings in DC.

Responsibilities

• Write and deploy Python scripts and SQL queries for large-scale data analysis.
• Solve customer problems using crime, unrest, and media data.
• Ensure production-ready code.

Skills

Python

SQL

Job description

Data Scientist - Analytics (Fully Remote)

Data Scientist - Analytics (Fully Remote)

This range is provided by Acceler8 Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $130,000.00/yr

Direct message the job poster from Acceler8 Talent

The Machine Learning Recruiter! | I've been filling MLE roles for over 7 years | Winner of Outstanding Advocate for Women in Tech 23 |…

Data Scientist - Analytics

Location: Remote (US)

About Us

A Series A startup with a leading database of crime, unrest, and media trends, delivering actionable insights via an innovative platform.

Responsibilities

• Write and deploy Python scripts and SQL queries for large-scale data analysis.
• Solve customer problems using crime, unrest, and media data.
• Ensure production-ready code.
• Collaborate with CTO, Team Lead, and Product team.

Requirements

• Proficient in Python and SQL; 5+ years’ experience +.
• US-based; able to attend annual meetings in DC.

Ideal:

• Experience in national security, risk intelligence (cyber/physical), cybersecurity, insurance, or fintech.
• Familiarity with dual-use defence firms.

Interview Process

• CTO interview.
• Team Lead interview.
• Product team/CEO discussion.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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Inferred from the description for this job

401(k)

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