Offer summary

Qualifications:

1-3 years of experience in analytics, data mining, or predictive data modeling., Bachelor’s Degree in Machine Learning, Computer Science, Data Analytics, Statistics, or a related field., Proficiency in programming languages such as R and Python, and experience with SQL and NoSQL databases., Strong understanding of machine learning algorithms and experience deploying models in production systems..

Key responsibilities:

Apply statistical and data mining techniques to derive patterns from data and generate actionable insights.

Analyze and cleanse raw data for various analytical projects and implement analytics solutions into the company's Decision Platform.

Collaborate with Product and Engineering teams to design data-driven solutions and recommend best practices for predictive modeling.

Work with stakeholders to identify opportunities for leveraging data to drive business solutions and assess new data sources.

Job description

Hello Candidate,

We are hiring for Python Developer / Big Data Engineer.

Location:- Bangalore

Exp- 1-3 yrs

Job Description:-

Responsibilities:

Apply advanced statistical and data mining techniques in order to derive patterns from the data
Generate actionable insights for business improvements
Analyze raw data – assessing quality, cleansing, structuring it for different analytical projects
Must have problem solving attitude
Develop solutions by using cutting edge AI/ML technology to solve business problems ranging from optimization of customer experiences to revenue generation and profit maximization, and other business outcomes
Implement analytics solutions into company’s Decision Platform contributing to shaping its tech architecture
Partner with Product and Engineering teams to design data-driven solutions for improving and optimizing product functionalities
Recommend & implement best practices around the application of predictive modelling
Work with stakeholders throughout the company to identify opportunities for leveraging company data to drive business solutions
Assess the effectiveness and accuracy of new data sources and data gathering techniquesKey Skills Required:
1-3 years of business experience including analytics, data mining and/or predictive data modelling
Strong academic background around Machine Learning / Computer Science / Data Analytics and Statistics or related field (Bachelor’s Degree required)
Advance exposure to key Machine learning algorithms (GBM, XGBoost, Random Forest, Neural networks, Bayesian methods, Deep learning, etc.)
Experience in deploying Machine Learning models in production systems
Hands on experience in handling large volume of numerical/textual data
Strong programming skills (R, Python)
Experience in SQL and NoSQL databases
Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the specific business problem
Strong communication skills: the ability to both formulate/understand the business problem at hand as well as ability to discuss with non -Data Science background stakeholders