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Data Culture Lead

4 months ago

Johannesburg, Gauteng, South Africa HelloKindred Full time
Company Description

Who is HelloKindred?


HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid.

Our vision is to make work accessible and people's lives better. We do this by disrupting traditional employment barriers - connecting ambitious talent to flexible opportunities with trusted brands.

Job Description:

Contract Length/Duration:
May 8th September 7th, 2023

Our client in the global professional services industry is seeking a talented Data Culture Lead to join their team.

  • Partner with client (product and marketing) teams to understand business problems and marketing strategies as well as engaging with IT to unearth trends in behaviour.
  • Translate open ended business problems in analytical hypothesis and test the hypothesis leveraging various data sources.
  • Work through the phases of a data science project.
  • Define data requirements for creating a model and understand the business problem.
  • Clean, aggregate, analyse, interpret data and carry out quality analysis of it.
  • Set up data for predictive/prescriptive analysis.
  • Development of AI/ML models or statistical/econometric models.
  • Articulate strategic recommendations based on analysis and sound findings.
  • Develop visualizations for stakeholders highlighting nuggets of interest.
  • The role will play a key part in monitoring the team's progress towards developing new, innovative and impactful solutions including delivering them.
  • Mentoring of junior level staff.
  • Build and develop client relationships.

Qualifications:

  • Degree preferred in Engineering (electrical, mining, chemical), Data Science, Statistics or related field with excellent academic performance.
  • Strong passion on any of the following topics
  • Advanced Data Analytics, Machine Learning, Data Science and Data Management.
  • Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities.
  • Undertaking data collection, preprocessing and analysis.
  • Building of statistical models to address business problems.
  • Well articulation and presentation of information using data visualization techniques.
  • Team oriented and collaborative working style, both with clients and those within the organisation.
  • Demonstrated ability to build relationships at relevant levels within client organisation.
  • Machine Learning (R, Python, SAS, SPSS).
  • Big Data (Spark, Hadoop, NoSQL Databases, Data Lakes & Platforms).
  • Cloud Platforms (Azure, Google Cloud, AWS) with exposure to RDBMS tools like SQL, Oracle and SAP.
  • Experience in data preparation, analysis in Hive/Spark or similar big data analytics tool leveraging Databricks.
  • Business Intelligence (Power BI, Tableau, Qlik).
  • Good grasp of machine learning, development cycle and MLOps, such as model development, model deployment, data versioning etc.
years of professional experience in Resources/Mining.

  • Experience extracting, cleaning and processing sensors data and working with historian systems such as PI.
Additional Information
**_
Please note that only applicants selected for an interview will be contacted._**We appreciate your interest in this opportunity. Please note only applicants selected for an interview will be contacted.

HelloKindred is proud to be an equal opportunity employer, committed to creating a diverse environment.

All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity/expression, sexual orientation, national origin, disability, age, or veteran status.