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Senior Python Developer needs 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry. Hybrid, 3 daysExperience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or FoundryExperience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Leverage a broad set of modern technologies including Python, R, Scala, and Spark to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
$79 - $80Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with data science technologies; Hadoop, Spark, MongoDB, Redis, Python, R,SAS, Tableau, D3. Experience with more than one relevant programming language (e.g., Java,PHP, Python, Ruby.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Hands on experience with R / Python with development of standalone packages which can be published on the IT enabled platforms. Provide leadership in data science thinking in all aspect of R&I, including guidance on statistical methods, study designs.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Strong computer skills, including proficiency in general-purpose programming languages (e.g. VB, Python, Perl, R, C. Knowledge and experience in typical analytical techniques such as HPLC, UPLC, CE-SDS, iCE, and high-throughput purification are desirable.
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Strong programming skills in languages such as Python, R, or Java. Support agile work processes and keep work management systems current (e.g., Azure DevOps) Experience with data visualization tools such as Tableau or Power BI.
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Knowledge of databases (SQL, U2, Oracle, or other similar databases), as well as web development (HTML/CSS, JavaScript, XML, JSON), database systems (SQL, SQL Server, MySQL), and scripting (PHP, Python, R) skills are also required.
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Knowledge of other programming languages such as R, Python etc. The Manager Statistical Programmer will lead and support all programming activities per the project strategies within therapeutic area(s.
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Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Work with the Data Practice Manager to identify skill gaps and arrange for targeted training programs in technologies such as Python, R, Scala, Full Stack Engineering, Snowflake/DataBricks, and cloud platforms (AWS, Azure, GCP.
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Prepare and manipulate large datasets using statistical software and programming languages such as R, Python, or SAS. Conduct data validations and ensure data integrity that support risk capital and reserving analyses.
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2+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, PL/SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure). 5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Broad understanding of multiple technologies These include; Blue Yonder suite of products/architectures ERP (SAP) & ERP Datawarehouses (SAP BW) Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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