Apply in these data science jobs to accelerate career growth in 2022
The utilization of data dominates modern businesses. Data science, analytics, and big data have established themselves as a fundamental part of all business enterprises. The integration of data technologies has generated valuable information from the collected data and has also enabled operational efficiency and minimized the risks of facing losses through accurately forecasting the future risks. Quite obviously, this has led to an increase in the number of data science jobs. Companies are seeking skilled and highly motivated individuals who can leverage advanced technologies like AI, ML, IoT, and big data to attain organizational objectives. In this article, we have listed such top data science jobs that data professionals can apply for in the first week of January 2022.
Location: Hyderabad, India
Responsibilities:
- Data cleaning and labelling (video annotation)
- Ensure the automation of tasks on time and as planned
- Ensure the annotation work meet the quality standards
- Collaborate with quality check teams for correction and improvements.
Required Skills:
- Good dexterity and efficiency in labelling video datasets
- Ability to methodically label data with high accuracy
- Ability to work in a fast-paced dynamic environment
- Experience to work with data labelling tools and similar activities
Qualifications:
- University degree in computer science, mathematics, or related fields
- Excellent computer skills with knowledge in Microsoft Word and Microsoft Excel
- Knowledge in mathematics and statistics
Offered by: Narayana Health
Location: Bengaluru, India
Responsibilities:
- Build comprehensive models to identify and track key levers of business performance
- Design visuals to effectively represent the data models and analyses to provide a clear structure for decision-making
- Develop NLP algorithms to classify and summarize structured and unstructured text data
- Develop statistical and ML models towards estimation and classification of clinical variables
Skills Required:
- NLP Algorithms
- Business analytics and image processing
- Computer vision
- Deep learning
Qualifications:
- Bachelor's in Science in any specialization
- Tech or B.E in any specialization
Offered by: Times Internet
Responsibilities:
- Design and develop a high-performance, distributed, fault-tolerant data processing system.
- Ability to understand data processing requirements and build cost-effective solutions
- Work closely with the business, QA, and operations team to triage issues
- Investigate best tools and frameworks to build extensible frameworks
Skills Required:
- Proficient in Java
- Experience in data modelling, data design, and persistence on large datasets
- Experience in the ad tech domain will be a big advantage
- Hands-on experience of 6 to 12 years in designing, developing, debugging testing scale distributed systems and big data technologies
- Good understanding of software design principles and building efficient data principles
Offered by: Dell Technologies
Location: Bengaluru, India (Hybrid)
Responsibilities:
- Contribute business strategy and influence decision-making based on the information gained
- Partner with business leaders, engineers, and industry experts to build predictive models, algorithms, and probability engines
- Produce actionable insights from complex datasets
- Design processes to consolidate and examine unstructured data to draw actionable insights
Skills Required
- 12 to 15 years of work experience with advanced statistical skills and mathematical knowledge
- Knowledge of sales organizations and goals
- Knowledge about data visualization techniques
- A deeper understanding of data approaches like regression, clustering, and classification
- Statistical and data modelling skills
Offered by: Bridgetree Research Services PVT. Ltd.
Location: Bengaluru, India (Remote)
Responsibilities:
- Write programs to cleanse and integrate data in an efficient and reusable manner
- Ensure data quality and analytic accuracy before presenting to the stakeholders
- Incorporate a variety of statistical and ML techniques in the projects
- Produce accurate data reporting and provide recommendations for improving future reports
Required skills:
- Ability to learn and take responsibility to deliver from preferred programming tools
- Experience in a data-driven environment providing analytics and insights
- Extensive experience in large datasets, statistical analyses
- Hands-on experience with Python, SQL, and Tableau
Qualifications:
- Degrees in a highly relevant analytical or technical field, such as statistics, business analytics, and data science
- More than 4 years of experience in direct program and analysis experience in retail with a strong emphasis on answering complex business questions
Responsibilities:
- Hands-on work and delivery of advanced analytics, ML, and AI projects
- Mentoring juniors
- Handle client interactions and client management
Required Skills:
- 3 to 5 years of experience
- Should also possess experience in ML and advanced analytics
- Good communication skills
- Should have experience in external client-facing roles
Qualifications:
- Tech, M.Tech, Ph.D., Masters in statistics, economics, computer science, robotics, mechanical or industrial engineering, or in related domains
- Excellent communication, consulting, and project management skills
- Expert in Python/R coding
- Knowledge in neural networks, deep learning, or AI would be an advantage
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