Senior Data Scientist
2 weeks ago
Skills:
Python, Modern statistical techniques, Big data technologies like AWS, Google, Microsoft, or Cloudera We are seeking a Senior Data Scientist with extensive experience in algorithms and advanced analytics solutions within the mining or industrial sectors.
The ideal candidate will have a proven track record of leading data science teams, providing technical expertise, and driving innovative solutions.
Responsibilities:
Design and develop advanced analytic solutions across functional areas based on requirements and opportunities.
Evaluate and lead a broad range of forward-looking analytics initiatives, track emerging data science trends, and facilitate knowledge sharing.
Conduct statistical and mathematical modeling, solve complex business problems, and deliver innovative solutions using state-of-the-art tools and cutting-edge technologies for big data and beyond.
Engage key stakeholders to source, mine, and validate data and findings, confirming business logic and assumptions to conclude.Skills:
Experience with traditional and modern statistical techniques, including regression, support vector machines, boosting, random forests, and ensemble methods.
Proficient in visualization tools, preferably Tableau or Power BI.
Sound knowledge of ETL practices, preferably Spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera.
Strong knowledge of machine learning foundations (supervised and unsupervised models) and optimization techniques.Ability to communicate complex quantitative analysis clearly, providing actionable insights.
If you are interested and possess the required experience, please apply now via the link below to be considered.
Contact:
Maria Hecto Job reference: To apply please click the 'Apply Now' button.
Diversity and inclusion are strongly supported at Peoplebank.
People of all nationalities, gender identities, and cultural backgrounds, including Aboriginal and Torres Strait Islander Peoples, are encouraged to apply.
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