| Senior Data Science Lead at Chicago, Illinois, USA |
| Email: [email protected] |
| From: ANIL, CDI Solutions Inc [email protected] Reply to: [email protected] Senior Data Science Lead -Remote Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Specialization Data Science Advanced: Senior Data Science Lead Years of Experience: 10+ years Travel Required: Yes Location: Chicago, IL (Remote) As a consultant within the Data Artificial and Intelligence team, you will work with our clients to define their digital strategy and execution roadmap, and design and implement differentiated digital solutions to help deliver measurable value. Your Responsible: The Candidate would be tasked with solving a real-life business problem that requires processing/analyzing TBs of data and handling variety of data sources. The candidate will be expected to deal with data extraction and munging, using appropriate ML techniques to build data science solutions and to implement these solutions in production. The work is organized as a project with clear deliverables and stringent timelines. The Candidate would collaborate with other team members who would provide support and mentoring. The Candidate would proactively investigate, report, and where possible, address data quality issues. Job Description: Strong SQL skills (6-7 Years of hands-on experience with complex queries and data munging) Deep Machine Learning expertise (hands on with 6-7 years of experience) Strong expertise in Python (particularly Machine Learning Libraries) Experience implementing machine learning solutions in at least 3-5 real-life Analytics Projects (Excluding Academic/side projects) Solid fundamentals, knowledge of supervised, unsupervised, machine learning and deep learning algorithms, such as classifiers, cluster analysis, dimension reduction, regression, time series forecasting, boosting/bagging, model explain ability techniques. Exposure to deep learning algorithms and areas such as NLP is a strong plus. Excellent communication (written/verbal), presentation and facilitation skills. Ability to engage with business teams directly, especially with key stakeholders spread across different Geos (particularly AMER and EMEA) Great presentation skills Keywords: artificial intelligence machine learning rlang Illinois |
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| Tue Feb 20 23:41:00 UTC 2024 |