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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Instructional Design (Proficiency: Intermediate-Advanced) Proven experience designing and developing learning deliverables for blended, virtual, self-paced, and in-class delivery (including use of eLearning Authoring software, such as Articulate Storyline, Camtasia Studio, Adobe Creative Suite (Premiere Pro, After Effects, Audition) and Virtual Classroom (Teams, ZOOM.
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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Prior experience with Intex, Moody’s Analytics, Crystal Ball, R, Python, and other industry software, preferred. Prior experience with Intex, Moody’s Analytics, Crystal Ball, R, Python, and other industry software, preferred.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Advanced proficiency in Qualtrics/Clarabridge, SPSS, SQL, R, Python, Tableau and Power BI. Qualtrics Customer XM and XM Discover Advanced Proficiency, SQL, R, Python, SPSS, PowerBI, Tableau.
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A minimum of three (3) years of experience using R programming language (Python is a plus) Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Candidate will publish training schedules/course offerings within GDOT Learning Management System (Oracle/Workday), administer learner enrolments/testing/completions, assign grades/scoring or awarding of certifications.
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With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse. The Audio Engineer is responsible for all voice over talent recordings, digital edit and audio mix in the post production process of commercials for broadcast, social platforms, website content and other digital and interactive media.
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