Top 10 Data Science Jobs to Check Out This Week

Looking for a data science job? Here are 10 opportunities you don't want to miss

Data science professions entail gathering, analyzing, and presenting data to solve issues, provide insights, and create value. Data science positions are in great demand across many businesses and disciplines, including e-commerce, finance, healthcare, and education. Data science professions need a mix of mathematics, statistics, programming, machine learning, and domain expertise abilities. Top 10 data science jobs to check out this week:

1. Data Scientist at Wipro Consumer Care: Location and exp.

Location: Hyderabad, Telangana

Experience: 3-14 years

Responsibilities:

• Write SQL queries to gather and aggregate data from tables of logs of autonomous driving from the actual world and simulation.
• Using SQL, correctly estimate rates of various sorts of behaviors with confidence intervals based on sampled occurrences. Experience in calculating confidence intervals is essential.
• Design dashboards with adequate filtering options to present rate estimations and simulation results.

2. Data Scientist at Tiger Analytics:

Location: Hyderabad, Telangana

Experience: 4-9 years

Responsibilities:

• The job includes hands-on contributions as a technical subject matter expert, customer interaction, and technical team management.
• Lead data science aspects of client engagements from start to finish, seamlessly switching roles as an Individual Contributor, team member, and data science manager as each project requires.
• Collaborate closely with the project team, customer stakeholders, and internal Business Units in devising creative, analytical approaches to solve business problems.

3. Data Scientist at RedBox:

Location: Chennai, Tamil Nadu

Experience: Entry Level

Responsibilities:

• Data Collection entails gathering information from many operational systems.
• Data Preparation: Cleaning and Transformation
• Exploratory Data Analysis: Basic and Advanced data exploration
• Model Building: Design and Develop statistical models to answer the use case.
• Model Evaluation: Use diagnostics of the produced model to approve or reject the model; retraining of the model may be required.

4. Data Science Trainer at Edzeq Technologies Private Limited:

Location: Hyderabad, Telangana

Experience: 2 years

Responsibilities:

• Should thoroughly understand data science and have experience working in production situations.
• Python/R knowledge is required.
• Interested in Data Science and keeping up with the newest developments in the area.

5. Senior Data Scientist at FedEx:

Location: Hyderabad, Telangana

Experience: 5 years

Responsibilities:

• Provide enterprise-level experience and leadership in large amounts of data, enterprise analytics, statistical modeling, and projects.
• Directs personnel in using descriptive, predictive, prescriptive, and ensemble modeling, advanced statistical techniques, database technologies, and other methodologies in quantitative analysis of complicated business problems.
• Develops and implements solutions from basic concepts to fully tested products and conveys outcomes to a diverse audience.

6. Data Scientist at Mroads:

Location: Hyderabad, Telangana

Experience: 3-5 years

Responsibilities:

• Create and maintain optimum global AI/ML architectures by building and designing them.
• Stay current on industry developments and use best practices to allow effective AI/ML solutions.
• Effective collaboration with stakeholders and business users.
• Take part in and organize Proof of Concepts (POCs) to illustrate potential solutions.

7. Senior Data Scientist at SKEP IT SYSTEMS:

Location: Hyderabad, Telangana

Experience: 7 years

Responsibilities:

• Data mining is the process of collecting useful data from valuable data sources.
• Using machine learning techniques to identify features, develop and optimize classifiers, and perform structured and unstructured data pre-processing
• Improving data-gathering techniques to capture all pertinent information for the development of analytical systems

 8. Senior Analyst, Data Scientist at Dun & Bradstreet:

Location: Hyderabad, Telangana

Experience: 5-8 years

Responsibilities:

• Validation and continuing monitoring operations for new and old models are carried out.
• Examine and validate the numerous models the Data Science and Analytics team generates across marketplaces.
• Model validation processes must be developed and implemented by regulatory criteria.

 9. Senior Data Scientist at ZF Group:

Location: Chennai, Tamil Nadu

Experience: 5 years

Responsibilities:

• Lead advanced analytics technology innovation initiatives, including predictive maintenance and machine learning, for commercial vehicles, transportation, and new technology field applications.
• Generate a novel end-to-end system that collects important data on embedded devices with resource limits and variable network connectivity and then uses cloud computing to generate prediction models and digital twins.

10. Senior Data Scientist at CBRE:

Location: Hyderabad, Noida, Gurugram

Experience: 9-15 years

Responsibilities:

• Machine learning approaches are used to choose features, develop, and optimize classifiers.
• Data mining utilizing cutting-edge methodologies
• Extending corporate data with third-party information sources as appropriate
• Improving data-gathering techniques to provide information pertinent to the development of analytic systems Development of analytic systems