Success AcademyBrooklyn
Thanks for your interest in Success Academy! Running the largest, fastest-growing, and highest-performing network of public charter schools in New York City takes a village - families, children, teachers, staff and faculty, advocates and supporters alike.We would love to welcome you to our community...
Capital OneQueens
Senior Data Engineer - Principal Associate. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data w...
Diverse LynxNewark, 9 mi from New York
Job Title : Fixed Income Data Modeler
Job Location : Newark , NJ
Type : Contract
Job Description :
7+ years of experience of in Data Modeling and Database Designing in Relational and Non-Relational Database, at least 5+ years in Financial...
Intelliswift Software IncNew York
with data modeling, warehousing, and building ETL pipelines
Experience Required:
3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with AWS technologies like Redshift, S3, AWS Glue...
Intelliswift Software IncNew York
with data modeling, warehousing, and building ETL pipelines
Experience Required:
3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with AWS technologies like Redshift, S3, AWS Glue...
Applab Systems IncPrinceton (NJ), 43 mi from New York
of administering NoSQL databases such as MongoDB, Couchbase, ElasticSearch, or HBase
• Experience in data modeling tools such as Oracle Data Modeler, Erwin, Toad, Visio, etc.
• Has strong Python programming skill and be able to develop dba applications for system...
ACG ResourcesNew York
Data Governance Analyst will lead Data Governance, Data Quality and Data Lineage function and will provide support to core data analysis across organization. Data Governance Analyst reports to Chief Data and Analytics Officer. Document data processes, data lineage, and metadata to ensure transparenc...
ACG ResourcesNew York
Data Governance Analyst will lead Data Governance, Data Quality and Data Lineage function and will provide support to core data analysis across organization. Data Governance Analyst reports to Chief Data and Analytics Officer. Document data processes, data lineage, and metadata to ensure transparenc...
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Senior Data Scientist
ITE MGMT | New York | apply.workable.com |
ITE Management, a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector, is seeking an Accounting Manager to join their Finance & Accounting team in New York.
Founded in 2014, ITE targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St.
Louis.
We are seeking a highly skilled Data Scientist to join our growing team of data scientists at ITE. As a Data Scientist you will play a critical role in driving data-driven decision-making across our investment strategies, portfolio management, and risk platform.
You will work closely with our verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at our portfolio companies.
You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates.
• Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures.
• Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues.
• Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models
• ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production.
• Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements.
• Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results.
• Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis.
Requirements
• Education: Bachelor’s degree in relevant STEM field (e.g., Physics, Mathematics, Data Science, Computer Science); Master’s degree preferred.
• Experience: At least 3-7 years of experience in a data science role
• Skills:
• Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models
• Strong programming skills in Python (or R or Julia) and SQL
• Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.)
• Working knowledge bringing models to production
• Experience with data modeling, data warehousing, and ELT processes
• Excellent communication and presentation skills
• Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) – and associated ML platforms (e.g., SageMaker, Vertex)
Nice to Have
• Monte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus.
• Domain Expertise: Experience with the analysis or application of data in finance or economics – specific experience with real assets a plus
Salary Range:
• Estimated base salary range for this position is: $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to, relevant skills, experience, qualifications, and geographic location.
Benefits
• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Hybrid Workplace
• Free Food & Snacks
• Wellness Resources
Founded in 2014, ITE targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St.
Louis.
We are seeking a highly skilled Data Scientist to join our growing team of data scientists at ITE. As a Data Scientist you will play a critical role in driving data-driven decision-making across our investment strategies, portfolio management, and risk platform.
You will work closely with our verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at our portfolio companies.
You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates.
• Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures.
• Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues.
• Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models
• ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production.
• Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements.
• Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results.
• Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis.
Requirements
• Education: Bachelor’s degree in relevant STEM field (e.g., Physics, Mathematics, Data Science, Computer Science); Master’s degree preferred.
• Experience: At least 3-7 years of experience in a data science role
• Skills:
• Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models
• Strong programming skills in Python (or R or Julia) and SQL
• Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.)
• Working knowledge bringing models to production
• Experience with data modeling, data warehousing, and ELT processes
• Excellent communication and presentation skills
• Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) – and associated ML platforms (e.g., SageMaker, Vertex)
Nice to Have
• Monte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus.
• Domain Expertise: Experience with the analysis or application of data in finance or economics – specific experience with real assets a plus
Salary Range:
• Estimated base salary range for this position is: $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to, relevant skills, experience, qualifications, and geographic location.
Benefits
• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Hybrid Workplace
• Free Food & Snacks
• Wellness Resources
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