Lead Data Scientist (Johannesburg)
Remuneration: | R500000 – R600000 per year |
Location: | Johannesburg, Midrand |
Education level: | Degree |
Type: | Permanent |
Reference: | #KB49593 |
Company: | E-Merge IT Recruitment |
Job description
Are you a data science professional needing to move your career to the next level?
Be a go-to person in your area of expertise in paving the path as a technical leader whilst bringing unmatched clarity to once impossible challenges.
If this sounds interesting – you may well be just who we need. Apply to this position.
Reference Number for this position is KB49593 which is a Permanent position based in Midrand offering a cost to company salary of R500,000 – R600,000 per annum negotiable on experience and ability. Contact Kavisha Bissessar
Are you ready for a change of scenery? E-Merge IT Recruitment is a specialist niche recruitment agency. We offer our candidates options so that we can successfully place the right developers with the right companies in the right roles. Check out the E-Merge website www.e-merge.co.za for more great positions.
Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals: https://www.e-merge.co.za/careers/referralprogramme/
Requirements
Education and experience:
- Degree in Applied Mathematics, Data Science, Computer Science, Econometrics, Statistics.
- Proven experience of three to four years as a Data Scientist or similar.
- Proven track record of team mentorship and technical leadership.
- Hands-on experience with R, Python, SAS, SQL, Power BI.
- Strong familiarity and experience with Statistical analysis, NLP & Machine learning techniques.
- Experience gained in consumer risk and marketing would be advantageous.
Apply if you are excited to:
- Work on finding solutions to complex analytical problems.
- Build, lead, and coach a team of quantitative modellers and data scientists.
- Drive the usage of advanced analytics techniques in the company.
- Provide mentorship and guidance to your team; inspire innovative thinking in the analytics space
- Planning projects, and building analytics models, leveraging on large volumes of data across sources in a variety of forms.
Posted on 07 Jul 14:07
Apply by email
Kavisha Bissessar
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