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Excellent technical knowledge of mainstream operating systems and a wide range of security technologies, such as network security appliances, identity, and access management (IAM) systems, anti-malware solutions, privilege access management (PAM), data loss prevention (DLP), encryption at-rest and in-transit, multi-factor authentication (MFA), end-point-security, vulnerability scanning and patch management, automated policy compliance tools, and desktop security tools.
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We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Inclusively is partnering with a multinational financial services company to hire a Data Science Associate.
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Alternatively, the employer will accept a Master’s degree in Finance, Computer Science, Engineering Management, or other related field plus three (3) years of experience in the job offered or three (3) years as a Senior Application Support Engineer, Data Analyst, or a related occupation.
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Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus.
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You won’t just be a technical expert: you will intersect between data science, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients.
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Familiarity with data security requirements aligned with DISA Security Technical Implementation Guides (STIGs), FISMA, NIST and/or FedRAMP compliance. Modernize applications according to Government direction, prioritizing SaaS and PaaS, ensuring compliance with security requirements and Agile/DevSecOps methodologies.
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Master’s degree in a Life Science field or bachelor’s degree with relevant Life Sciences sales experience. Three to Five years of prior sales experience required; preferably in life science reagents/consumables.
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The Territory Sales Manager is responsible for the promotion and sales of IDT's full portfolio of products, including custom oligonucleotide solutions across key application areas such as qPCR, CRISPR, Functional Genomics, Synthetic Biology and Next Generation Sequencing.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Strong knowledge of Redshift, Informatica, and/or Databricks highly preferred Seasoned developer or technical lead with strong curiousity for newest technologies and trends Experience with data formats including Parquet, Delta, and JSON. Preferred.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Used by multiple Engineering Teams for roadmaps, technical design, and guidance as it relates to the CSE organization (Customer Support Engineering). Recommends technical enhancements based on patterns of customer experience with Engineering leadership.
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Handle technical consultancy in post-sales implementations. As Technical Product Development Assistant Vice President, you will. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
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Knowledge on technical competence with the latest technologies (Azure, Power BI, SQL Server, SSIS, SSRS, SSAS, Azure/AWS Cloud, Devops (ADO), Snowflake, Mobility & Security) Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.
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An understanding of data science/statistical modeling. Advanced practical experience with data management, reporting, analysis and data visualization software (e.g., Tableau, SPSS, Alteryx, Hyperion, R, Python, Cognos, etc); Experience with Salesforce; Advanced Excel skills; Excellent data visualization, report preparation, and written communication skills, including ability to prepare and deliver presentations to an executive audience; Individual must be able to conduct rigorous, applied research that informs the strategic goals of the university.
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saas sales technical data science jobs Title: customer success manager in Cambridge, MA
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