Recruitment Relationship Manager at Allegis Global Solutions
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Data Scientist - Technology Solutions Team (2-10 yrs)
We're looking for a Data Scientist to be part of a technology solutions team that works with businesses to deliver product and/or service breakthroughs via data.
- Build an in-depth understanding of the business domains and available data assets, and perform exploratory statistics on diverse datasets.
- Formulate approaches for data analysis and model creation that will facilitate decision making.
- Frame meaningful business scenarios and translate business requirements into a set of analytical models.
- Perform data analysis and build / prototype / validate the model(s).
- Collaborate with engineering team to transfer the business understanding, productize the model and validate output with business users.
- Communicate findings and report progress to stakeholders on a regular basis. Use data visualization and summarization techniques for conveying key findings.
Qualification: Masters in Mathematics / Statistics / Computer science / Business Analytics / Operations
Experience: 3 - 6 years experience working with R&D teams in the area of data science / machine learning.
Knowledge and Capabilities:
- Deep expertise in building models via supervised and unsupervised machine learning, statistical methods and analysis, and predictive modeling techniques.
- Proficiency in R, SAS, Matlab or equivalent statistical/data analysis tools.
- Hands-on experience in at least one scripting language e.g. Python. Knowhow of a programming language such as Java, C, C++ is beneficial.
- Experience with Big Data Platforms (Hadoop, Pig, Hive etc.) is a definite advantage.
- Strong analytical and quantitative problem solving ability.
- Good interpersonal and (written/verbal) communication skills. Should be able to communicate a clear actionable story with data, to stakeholders at various levels.
- Passion for leveraging data to understand and solve business problems, and self-starter attitude.
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