Khatabook Recruitment For Data Science Jobseekers ! Apply Here

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Khatabook Recruitment For Data Science Jobseekers in 2024 check job criteria and apply for the role

Why work with Khatabook 

People are our biggest asset! At Khatabook, every one of us is a dynamic superstar. We have carefully bred an ecosystem which hires nothing but incredibly and exceptionally talented people who can dream, collaborate, experiment, and break new ground. We’re a strong team that looks out for each other.

Basic job details : 
Your role

We, at Khatabook are looking to hire a Data Scientist II. If you want to tackle hard and interesting problems at scale and create an impact within an entrepreneurial environment, this is the place for you. Attention : Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will loose opportunity.

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What would you do at Khatabook
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimisation and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
What are we looking for
  • 2 years of experience manipulating data sets and building statistical models.
  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SQL, etc. ) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc. ) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc. ) and experience with applications.
  • Experience in working with a full ML project lifecycle: understanding the problem statement and data, feature creation, development, tuning, validating, deployment, monitoring and retraining.
  • Excellent written and verbal communication skills for coordinating across teams.
  • Knowledge of real-time and batch deployment techniques.
  • Worked with MLOps pipeline and tools such as GIT, DVC, S3, Airflow and Kubernetes
  • A drive to learn and master new technologies and techniques.
  • Bachelor’s degree in Statistics, Mathematics, Computer Science or another quantitative field
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Required soft skills : 

  • Strong interpersonal skills for effective collaboration with stakeholders across the organization.
  • Excellent communication skills, both written and verbal, to convey complex ideas and findings clearly to diverse audiences.
  • Proactive attitude towards problem-solving, with the ability to think creatively and find innovative solutions.
  • Adaptability and flexibility to navigate through evolving project requirements and priorities.
  • Attention to detail to ensure accuracy and precision in data analysis and model development.
  • Time management skills to prioritize tasks effectively and meet project deadlines.
  • Willingness to learn and adapt to new technologies and methodologies in the field of data science.
  • Strong work ethic and commitment to delivering high-quality results that drive business impact.
  • Empathy and understanding towards colleagues,  supportive and inclusive work environment.

Apply here : Khatabook Recruitment For Data Science Jobseekers 

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