Data Scientist
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Employer: | Deloitte Technology Delivery Center |
Domain: |
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Job type: | full-time |
Job level: | 1 - 5 years of experience |
Location: |
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Updated at: | 02.08.2022 |
Remote work: | On-site |
Deloitte Technology Delivery Center provides IT technology services to Deloitte Member Firm clients across Europe, the US, the Middle East and Africa. We are part of a strongly integrated global network of Deloitte Delivery Centers. Our methods, breadth and depth in capabilities, and experienced teams uniquely position us to deliver solutions, services and projects that traditionally would have been completed onshore.
We have expertise in multiple capabilities across Business Operations (Systems Delivery & Modernization, Cloud & Engineering, Operations Transformation), Customer & Marketing (Marketing & Commerce, Digital Customer, Digital Foundry & Operations), Enterprise Tech & Performance (SAP, ServiceNow, Anaplan), Human Capital (HR Transformation, Organizational Transformation), and Strategy, Analytics and M&A (Data Modernization & Analytics, AI Insights and Engagement).
2+ years experience in a similar role
Python, including experience with pandas, sci-kit learn, numpy, tensorflow etc.
Proficient in SQL
Knowledge of R, Alteryx, MS Excel / VBA, Tableau / QlikView will be considered
Familiar with data science techniques: time series, clustering, segmentation, k-means, hierarchical clustering, tree-based methods, neural networks, etc.
Familiar with natural language processing techniques: symbolic methods, word embeddings, topic modelling etc.
Degree in Computer Science or equivalent
Good communication skills with the ability to develop strong client relationships
Design and conduct complex data analysis
Apply predictive and descriptive analytics techniques: machine learning/deep learning/natural language processing/time series analysis
Develop data manipulation and data visualization solutions
Translate the needs of the client, apply creative thinking to problems
Improve and expand the current data science solutions portfolio
Drive change by staying up to date with the data science trends and technologies
WHAT WE BRING
Fast-paced working environment within geographically-distributed teams
Greenfield projects! Opportunity to design innovative, modern solutions
Exposure to wide variety of cutting-edge technologies and frameworks
Chance to get involved and drive prototype projects (frameworks, engines, etc.) as part of our Data Analytics practice
Trainings! We encourage you to attend as many as possible and conduct some to help your colleagues grow while developing your skills
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