Data science is a very good career with tremendous opportunities for advancement in the future
Since data science is expansive, with strategies drawing from computer science, statistics, and different algorithms, and with applications showing up in all areas, these challenge areas address the wide scope of issues spreading over science, innovation, and society. Even though big data is the highlight of operations as of 2021, there are still likely issues or difficulties the analysts can address. A few of these issues overlap with the data science field. Data science is a very good career with tremendous opportunities for advancement in the future. Already the demand for data science professionals is high. A data science professional is responsible for collecting, analyzing, and interpreting extremely large amounts of data and their findings to solve problems. People with excellent expertise in programming languages and advanced technical skills fill the top data science jobs. Here is the list of top 10 data science research jobs to apply for in April 2022.
Full Stack Data Scientist
Velocity Clinical Research, Inc.
- Engineers the data pipelines that include data extraction, cleansing, and loading.
- Performs data analysis, feature engineering, and model selection
- Sets up the AI pipelines to train, test, and deploy the trained models to production.
- Develops the visualizations required to deliver critical insights
Senior Analyst/Manager/Data Analytics
- Supporting front-office traders/analysts on critical and time-sensitive recurring tasks that are data-intensive
- Build and manage large financial data sets and perform exception analysis.
- Collaborate with the in-house technology team for automating processes to achieve optimal efficiency
Data Scientist, Operations Data Science
- Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the business challenges.
- Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.
- Identify and communicate the challenges and opportunities that the group should be working on.
Data Analysis Research Scientist
- Conduct data access requests, data compilation, and analysis that provides weekly trends
- Number of and results of PCR testing (confirmed infection rates per number of PCR tests)
- Deaths associated with PCR test status
Data Scientist – Research Analyst
- Research, analyze, interpret and present data to product and data science teams.
- Assist with various analyses including Customer Segmentation, Transaction Classification, Temporal Analysis, and Risk modeling.
- Analyze massive amounts of data to provide insights.
- Measure and validate the performance of machine learning models.
- Identify improvement opportunities for various production models.
Data Scientist – KPO/Research
- Substantial hands-on experience with data handling
- Capable of managing large volumes of data, extracting, cleaning, and comprehending data
- Able to analyze data independently and draw salient insights
- Able to define a workflow for oneself and Associates on a daily or periodic basis, contingent on the requirements of the project
Data Research Analyst – Equity Operations
- Establishing and achieving the set SMART goals with the direction of the team lead.
- Have a very good understanding of the fundamental data for a company's income statement, cash flow statement, balance sheet, and other fundamental data sets.
- Expected candidates to be strong in Financial Accounting concepts with through understanding
- Participate in the Center of Excellence initiative focused on reducing resource costs, consolidating global data collection platforms, and supporting database integration projects.
Data Research Executive
- Type in data provided directly from various sources.
- Respond to inquiries as needed to resolve problems to maintain quality customer service and records management standards.
- Real estate data extraction & entry.
- New database creation, updation of existing data, capturing of data.
Junior Data Research Analyst
- Needs to do extended secondary research on regulatory authority sources and other secondary sources, analyze the available regulatory information and update the required regulatory information in the database
- Needs to update regulatory information for drugs, medical devices, biologics, generics, active pharmaceutical ingredients, and others.
- Responsible for the preparation and peer review of quality regulatory submissions for various markets for timely approvals.
- Updating the regulatory submissions and approval information regularly.
Data Research Analyst
- Data sourcing and enrichment using research on proprietary platforms and open-source information on the web
- Independently develops data extraction &/or cleansing techniques to enable data to be uploaded to proprietary information systems for reporting and mapping purposes
- Consults with the business to develop documentation and communication materials to ensure accurate usage and interpretation of GapMaps business requirements
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