Lead Data Scientist

March 9, 2024 ajiraforum JOB

JOIN OUR WHATSAPP GROUP. CLICK HERE

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 [email protected]

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.

Apply by email
Kavisha Bissessar
[email protected]