Data Science Jobs for Engineers to Apply

The ultimate guide to data science jobs for engineers to apply for better career

Data Science Jobs are highly sought after in many different companies and areas. The interdisciplinary area of the data science field uses scientific techniques, algorithms, and systems to draw conclusions and information from data. Data science positions are well suited for engineers with excellent analytical, coding, and problem-solving abilities. Artificial intelligence is a subfield of computer science that tries to build machines and systems that can carry out tasks that ordinarily require human intelligence. It is also a component of data science.

1. Data Engineer at Crowe:

Location: Hyderabad, Telangana

Experience: 3+ years

Responsibilities:

• Create, Improve, and Standardize The use of data pipelines to load data into cloud services, the design of data models, and the use of ETL to transfer data from legacy systems to Salesforce Prepare data sets for migration into or out of Salesforce by mapping them.
• When designing and building data pipelines, analyze the data quality, integrate technical design with data governance, and take into account all necessary non-business but operational requirements.
• Produce documentation that details the proposed data migration procedure, including the database objects that will be impacted, specifications, processes, and diagrams.

2. Machine Learning Engineer at Randstad India:

Location: Hyderabad, Telangana

Experience: 6 years

Responsibilities:

• Deep knowledge of mathematics, probability, statistics, and algorithms; a bachelor's or master's degree in computer science, machine learning, data science, or mathematics.
• An understanding of operations research and machine learning; the ability to build solid Python or R code. Outstanding analytical and problem-solving abilities.
• Knowledge of computer architecture. Capability to quickly prototype ideas, complete tasks, and identify requirements. Understanding of data structures, data modeling, and software design.
• Knowledge of machine learning libraries and frameworks.

3. Principal Software Engineer – Data at Intelliflo:

Location: Hyderabad, Telangana

Experience: 4+ years

Responsibilities:

• Creates and maintains the ETL to make it easier for data to be accommodated into the warehouse using SSIS and other technologies.
• Designs and supports the business's database and table schemas for new and existing data sources for the data warehouse.
• To collect and populate the data warehouse table structure, which is optimized for reporting, the person in this role will work closely with data analysts, the product team, and other data consumers within the business.
• Make sure every project has documentation.

4. Data Science Engineer at Livello India Private Limited:

Location: Hyderabad, Telangana

Experience: 3 years

Responsibilities:

• Create, implement, and evaluate algorithmic solutions for business intelligence, smart inventory control, and supply forecasting.
• Conduct extensive research to simulate complex data dependencies, statistical inference, and innovative predictive modeling.
• Take the lead in the technological conception, design, and incorporation of cutting-edge features that support our goods.
• Collaborate with multidisciplinary teams to design, develop, and roll out reliable apps.
• Use business intelligence and AI tools to study market trends, understand consumer behavior, and produce useful insights.

4. Data Scientist II at Microsoft:

Location: Hyderabad, Telangana

Experience: 5+ years

Responsibilities:

• Recognize user/business concerns. Identify and rank business prospects, and effectively convey insights and enticing data-driven tales.
• Collaborates with product, research, and other data scientists to provide data-driven solutions to complex business decision-making issues.
• Participate in weekly scrum meetings, work with software and data engineers to create metrics and reporting dashboards, and make sure the metrics and data are of the highest caliber.
• You will use the dashboard to produce insights and hypotheses that will fuel growth, making you one of its main customers.

 6. Crypto Data Scientist at Token Metrics:

Location: Hyderabad, Telangana

Experience: 2 years

Responsibilities:

• Choosing and refining machine learning goals in consultation with the management.
• Creating self-running artificial intelligence (AI) and machine learning systems to automate prediction models.
• Adapting data science prototypes and using the proper ML tools and algorithms.
• Ensuring that user recommendations generated by algorithms are correct.
• Using multi-layered data sets to solve challenging challenges and improve current machine learning frameworks and libraries.

 7. Data Scientist-IC2 at Varite INC:

Location: Hyderabad, Telangana

Experience: Entry Level

Responsibilities:

• By enhancing the caliber of our algorithms and data-processing techniques, you will contribute to features and products as a member of the EWF Data Science team.
• You will work together with other teams of engineers, designers, product teams, and business stakeholders.
• The ideal applicant will be eager to learn and have a team-oriented attitude.
• Analyzing data and offering metrics for teams and projects.
• Creating new algorithms to meet the needs of features and products.

8. Analytics engineer at DAZN Careers:

Location: Hyderabad, Telangana

Experience: 1-2 years

Responsibilities:

• Create and keep up data pipelines for ELT.
• Ensure that our "Source of Truth" databases are efficient, accurate, and stable.
• Create data products in collaboration with data users to meet their needs. Expand and upgrade our analytics code base's quality.
• Create and use testing frameworks to keep an eye on the accuracy of the data.
• Promote ongoing performance enhancements and cost-saving measures for our data stack and other analytical tools.

9. Software Engineer Data Science at Heritage Foods:

Location: Hyderabad, Telangana

Experience: 2-5 years

Responsibilities:

• Strong knowledge of applied statistics, including regression, statistical testing, and distributions.
• Although not required, prior knowledge of Deep Learning, BERT, Transformer, LSTM, RNN, Text Classification, and Clustering is preferred.
• Expertise in designing data architectures, managing data, analyzing data, and extracting data.
• Understanding the pros and disadvantages of various machine learning approaches in the real world.
• Experience using applications and knowledge of sophisticated statistical principles and methodologies.
• Quickness in picking up on business intricacies.
• The capacity to deconstruct a complex issue into manageable parts.

10. Staff Data scientist at Plume Design, Inc:

Location: Hyderabad, Telangana

Experience: 7+ years

Responsibilities:

• Conduct in-depth analysis of our WiFi telemetry and user activity data, produce crucial KPIs and actionable insights, and create visualizations/dashboards to communicate the findings to stakeholders.
• Create machine learning pipelines using a variety of data sources and processing both structured and unstructured data to meet our machine learning and analytical needs.
• Formalize expectations for how our systems should behave, define outliers statistically, and design techniques to systematically find these outliers.
• Work with cross-functional teams to define the technological requirements, design solutions utilizing data science and machine learning approaches, and translate complicated real-world business problems into tangible problem statements.