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Our client, a top tier consulting firm, is looking to engage with a data scientist who can help them in building a digital garage for one of their construction goods manufacturing company for lead generation purposes.
Key responsibilities include:
1. Design, create, test and implement complex models and algorithms that drive analytical solutions throughout the organization
2. Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance
3. Collaborate with translators and understands business problems to implement scalable and sustainable solutions
4. Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions
5. Support translators in communicating the design, functioning and output of the analytical models/solutions developed
6. Ensure timely analysis and testing for regular maintenance of
solutions over time
▪ Should have experience in machine learning, statistics, optimization or related fields; deeper experience in working with large data sets, simulation/ optimization or distributed computing tools is a plus
▪ Experience and knowledge of modeling techniques, predictive analysis techniques, statistics, econometrics and / or optimization. In particular, advanced knowledge of machine learning, statistical techniques and data mining (time series, decision trees, clustering, random forest, gradient boosting, neural networks, etc.)
▪ Experience with programming and scripting languages is required; Experience in (R or Python), SQL, Alteryx is must
▪ Experience in multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP
(AWS Redshift, Teradata), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
▪ Strong understanding of Agile methodologies and experience of working in agile teams
A leading management consulting company
Internet Services
7+ years
1
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