


DA DS Trainer JD:
Key Responsibilities:
Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.
Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.
Conduct classroom, online, and one-on-one training sessions for students at different skill levels.
Evaluate students' performance and progress, providing feedback and support to help them improve.
Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.
Collaborate with other trainers and industry experts to continuously improve training content and methodologies.
Assist in the development of training schedules and manage training logistics.
Provide mentorship and career guidance to students aspiring to build a career in data science.
Qualifications:
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.
Proven experience as a Data Science Trainer or a similar role.
In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.
Excellent presentation and communication skills.
Strong organizational and time-management abilities.
Ability to simplify complex concepts and deliver them in an understandable manner.
Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.
Preferred Skills:
Experience with LMS (Learning Management Systems) and e-learning platforms.
Strong analytical and problem-solving skills.
Ability to adapt training methods to different learning styles.
Passion for continuous learning and professional development.
Benefits:
Competitive salary and performance-based incentives.
Professional development opportunities.
Flexible working hours.
Collaborative and innovative work environment.

About KG Microcollege
About
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Job Summary:(Only Female Teacher can apply)
A science teacher or specialized high school teacher educates high school students to prepare them for postsecondary school or the workforce. Their main duties include planning and instructing lessons, assessing and supporting students’ strengths and weaknesses, and adapting and enforcing classroom policies.
Key Responsibilities:
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About Company:
http://www.keka.com/" target="_blank">Keka is one of the fastest growing SaaS products in India and has quickly grown to a leader position in its segment in shortest time. With happy customers who refer Keka to others, Keka is on its way to becoming the market category leader in India. We are on a mission to provide best employee experience for companies across the globe and we are looking for awesome folks to join our team.
The Business Development role is more than a sales job at Keka. As an early member of the team you will be able to influence and shape the entire sales development process.
You'll be responsible for prospecting, nurturing, solving problems for customers, and closing deals. As a true business consultant, you'll have to learn about the HR and Payroll domain, our product, contrast with competition and provide the most apt solutions to customers.
You’ll be accelerating the sales cycle, so were looking for a strong communicator who demonstrates a natural instinct for exceeding goals, resourcefulness, and a thirst for excellence.
Job Description:
As a member of business development team,
· Your primary responsibility is to ensure the regions sales target is met consistently.
· You need to deal with startups, SMEs and large enterprises and help them with the right solution.
· You need to have right attitude and should be a constant hustler.
· You need to make the region a profit center for the organization.
· You will be solely responsible for all the business development activities including identifying potential partners, attending industry events and building a network.
· You need to constantly do competitor analysis, so we position ourselves better in the market.
· You need to collaborate tightly with senior management & cross functional departments like product team, customer success team to serve customers better.
· With the help of customer success team, you must ensure that existing clients are retained hence reducing the attrition.

experience working in React with Redux Framework
§ Experienced in responsive Frontend web application development, with a strong
analytical mind and an ethical approach to development
§ Highly proficient in CSS3, HTML5, JavaScript. Also proficient in tools like Bootstrap
and Webpack for building products across multiple screen resolutions and
browsers
§ Familiarity with cross-browser compatibility issues and demonstrate design and
user interface/user experience skills
§ Excellent time management, multi-tasking and communication skills
§ Should have experience working with RESTful APIs
§ Strong CS fundamentals: Data structures, Algorithms, Distributed systems and
Information Retrieval
§ You ship fast. Speed is in your blood. Except when you are driving in Bangalore




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- Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
- Good understanding of the underlying business and workings of cross functional teams for successful execution
- Design and develop analyses based on business requirement needs and challenges.
- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
- Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
- Innovate on projects by using new modeling techniques or tools.
- Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
- Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.
Skills:
- 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
- Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
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