Description:
A company that provides a privacy-preserving data collaboration platform that allows companies to securely share and analyze consumer data without exchanging raw information is seeking a full-time Senior Data Science Consultant with strong expertise in data science and strategic consulting to join their dynamic and growing Data Science team.Responsibilities:
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Strategic Consulting: Support Sales and Consulting by analyzing client businesses, market trends, and developing data-driven strategic plans and roadmaps (growth, cost optimization, risk management).
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Client Leadership: Build strong client relationships, communicate complex findings effectively, and identify upsell/cross-sell opportunities for data products and services.
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Project Leadership: Scope, design, and lead data science/analytics projects, supervising data scientists/analysts and managing project delivery, timelines, and client communication.
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Advanced Analytics: Collect, clean, and analyze large datasets. Utilize statistical methods and Machine Learning techniques to build predictive models, forecasting algorithms , and innovative data products .
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Performance & Thought Leadership: Define and track KPIs. Stay current on industry trends (data science, alternative data, data collaboration) and contribute thought leadership.
Minimum Requirements:
- Bachelor's degree (Data Science, Engineering, Math, Stats, Comp Sci, or related). Postgraduate degree preferred.
- 7+ years i n a senior-level data science role, including experience leading projects and supervising other data scientists.
- 3+ years proven experience in strategic consulting, management consulting, or a related field (data-driven decision-making focus).
- Experience with credit risk or pricing models in the financial industry.
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Programming: Strong proficiency in Python and SQL .
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Analytics: Strong proficiency and working experience with statistical methods, Machine Learning algorithms, and data mining .
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Data Visualization: Working knowledge of tools like Tableau, Power BI , etc.
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Big Data/Cloud: Experience with PySpark and distributed computing using Apache Spark within Azure Synapse .
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Highly Advantageous: Experience designing/developing Synapse Pipelines (integrating SQL, Spark, APIs, orchestration) and experience with Delta Lake / Delta Tables, Databricks , or other modern data lakehouse technologies.
Benefits:
- Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to itcareers@hireresolve.za.com
Requirements:
-
Strategic Consulting: Support Sales and Consulting by analyzing client businesses, market trends, and developing data-driven strategic plans and roadmaps (growth, cost optimization, risk management).
-
Client Leadership: Build strong client relationships, communicate complex findings effectively, and identify upsell/cross-sell opportunities for data products and services.
-
Project Leadership: Scope, design, and lead data science/analytics projects, supervising data scientists/analysts and managing project delivery, timelines, and client communication.
-
Advanced Analytics: Collect, clean, and analyze large datasets. Utilize statistical methods and Machine Learning techniques to build predictive models, forecasting algorithms , and innovative data products .
-
Performance & Thought Leadership: Define and track KPIs. Stay current on industry trends (data science, alternative data, data collaboration) and contribute thought leadership.
- Bachelor's degree (Data Science, Engineering, Math, Stats, Comp Sci, or related). Postgraduate degree preferred.
- 7+ years i n a senior-level data science role, including experience leading projects and supervising other data scientists.
- 3+ years proven experience in strategic consulting, management consulting, or a related field (data-driven decision-making focus).
- Experience with credit risk or pricing models in the financial industry.
-
Programming: Strong proficiency in Python and SQL .
-
Analytics: Strong proficiency and working experience with statistical methods, Machine Learning algorithms, and data mining .
-
Data Visualization: Working knowledge of tools like Tableau, Power BI , etc.
-
Big Data/Cloud: Experience with PySpark and distributed computing using Apache Spark within Azure Synapse .
-
Highly Advantageous: Experience designing/developing Synapse Pipelines (integrating SQL, Spark, APIs, orchestration) and experience with Delta Lake / Delta Tables, Databricks , or other modern data lakehouse technologies.
- Competitive salary based on experience (salary can potentially be more based on experience/skills)