Job description
Datalgorithmics is seeking a talented and experienced Data Scientist to join our team. As a remote data scientist, you will be responsible for leveraging data to support business decision making and drive growth. You will work with a team of data experts to develop and implement advanced analytics solutions, analyze large data sets, and communicate insights to stakeholders.
Responsibilities:
- Collect, process, and analyze large data sets to identify trends, patterns, and relationships
- Develop predictive models and algorithms to support business decision making
- Collaborate with cross-functional teams to understand business needs and translate data insights into actionable recommendations
- Communicate findings and recommendations to stakeholders, including executive leadership
- Keep up-to-date with emerging trends and technologies in the data science field
- Continuously monitor and evaluate the performance of models and algorithms to ensure they are providing valueRequirements:
- Master's degree in Computer Science, Statistics, Mathematics, or a related field
- 3+ years of experience in a data science role
- Strong programming skills in Python or R
- Expertise in data visualization and data analysis techniques
- Ability to work with large, complex data sets
- Excellent communication and presentation skills
- Ability to work independently and manage time effectively
- Access to a computer and reliable internet connection
If you have a passion for data and a drive to make a real impact, we would love to hear from you! Please send your resume and a cover letter to [email protected].
Job Type: Freelance
Pay: From £10.00 per hour
Benefits:
- Casual dress
- Company events
- Flexitime
- Work from home
Schedule:
- Flexitime
- Monday to Friday
- Weekend availability
Supplemental pay types:
- Commission pay
- Loyalty bonus
- Performance bonus
Ability to commute/relocate:
- London, Greater London: reliably commute or plan to relocate before starting work (preferred)
Education:
- Bachelor's (preferred)
Experience:
- Teaching: 1 year (preferred)
Reference ID: Data Engineer