Systems Engineer 4
T-Rex has been tracking a recent trend of job offer scams. These scams start with an unsolicited email or LinkedIn message from a fake or impersonated recruiter that states the candidate meets a skillset that the recruiter is looking for. That is often followed up with a false screening questionnaire and even an interview for the nonexistent position. After this, the candidate receives an official-looking job offer. In some cases, there is also a request for a large payment to acquire office equipment, such as a laptop. The scammer tells the victim that they will be reimbursed for the purchase of the office equipment, but of course this never happens.
About the role
The successful candidate will be responsible for developing and implementing innovative solutions to complex problems in the field of data analytics. They will work closely with cross-functional teams to ensure that all projects are aligned with the company's strategic goals.
Responsibilities
- Develop and maintain robust data models and predictive algorithms
- Collaborate with data scientists and engineers to integrate new data sources into existing systems
- Perform regular data quality checks and implement necessary improvements
- Present findings and recommendations to stakeholders in clear and concise reports
Requirements
- Bachelor's degree in Computer Science, Statistics, or a related field
- At least 3 years of experience in data analysis and/or machine learning
- Strong proficiency in Python, R, and SQL
- Experience with big data technologies like Hadoop and Spark
- Excellent problem-solving and analytical skills
Qualifications
- Passionate about using technology to drive business outcomes
- Ability to work independently and manage multiple tasks simultaneously
- Strong communication and interpersonal skills
Skills
- Data modeling and analysis
- Machine learning and predictive analytics
- Data integration and management
- Big data technologies
Benefits
- Competitive salary commensurate with experience
- Flexible work schedule
- Health insurance coverage
- Professional development opportunities
Pay
Salary range: $80,000 - $120,000 per year
Schedule
Full-time, remote position
Note: This position is open until filled.