Senior Data Scientist at Integrove

About the job
Define your career with us

We drive innovation with our clients through a journey of rethinking the art of the possible, using transformative digital technologies to deliver exceptional user experiences. We help our clients reimagine how they do things by applying the latest digital technologies in order to transform and move their business forward.
Job Summary

We’re looking for a Senior Data Scientist with a passion for both math and technology to join our growing Data Science Engineering team.
Key Responsibilities 

• Participate in design thinking processes to determine & confirm hypotheses and priority questions / data challenges & related metrics to be solved for.
• Translate business questions to be solved into data requirements & define data solutions to deliver against these requirements.
• Proactively partner with the data engineering team to refine the data requirements deliver raw data to Data Science teams for interpretation & analysis.
• Design fit for purpose data interpretation & analysis approaches & create customized data models, algorithms, machine learning tools and recommendation engines to achieve the desired business outcomes.
• Use advanced data science skills to mine & interpret data. These include but are not limited to advanced statistics, data wrangling, data mining, data analysis, feature engineering & predictive modelling, distributed computing, machine learning tools & data intuition.
• Analyse & interpret complex data sets.
• Apply quality assurance frameworks to test model & analysis techniques (e.g., algorithms, models) & overall data quality.
• Apply the testing frameworks to monitor and analyse model performance & data integrity on all data assignments.
• Produce business insights and recommendations based on data analysis & modelling concluded & where relevant with knowledge and experience of e.g., Java, Scala, Python, Hadoop, Apache Spark & Kafka
• Use storytelling and data visualization techniques to maximize impact & deliver a user-friendly product to business.
• Contribute to the consolidation of data solutions into viable end products (in the language of business) that can be leveraged on an ongoing basis e.g., dashboards or reports.
• Present data analysis (trends, insights, forecasts) & findings to business & show tangible business impact to be derived from the data science process.
• Facilitate peer reviews & feedback on data solutions.
• Refine data analysis based on business & peer reviews.
• Contribute to the assessments of the effectiveness and accuracy of new data sources & data gathering techniques.
• Promote data literacy with your business stakeholders by sharing best practices and showing tangible business impact & recommendations as a direct result of the data solutions provided.
• Stay ahead of the curve on data science trends & leading practice data science tools and techniques & transition the organisation to advanced methods for the continuous optimization of data.

Education & Skills

• Bachelor's Degree: STEM
• Cloud Experience: Azure, AWS or similar
• Bonus
• Microsoft Azure Certifications