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24/07 Swarnim Shrey
Consultant at Aryng

Views:692 Applications:173 Rec. Actions:Recruiter Actions:158

Aryng - Senior Data Scientist (4-12 yrs)

Anywhere in India/Multiple Locations/Any Location Job Code: 954897

The Aryng team is looking for an exceptional Senior data scientist to work on various challenging, high-value, high-impact data science problems. This role is remote and based out of India. The data scientist would be mentored directly by the CEO, a known Data Science thought leader, on a unique and end-to-end framework called BADIR. BADIR is Aryng's proprietary Data Science + Decision Framework framework leveraged by Fortune 100 companies to drive accelerated results. He/She would wear multiple hats, including brainstorming Data Science solutions, formulating hypotheses, building models, writing blogs, and mentoring students.

Job Responsibilities include :

- Work with clients to solve high-value problems in product, marketing, and operations.

- Identify opportunities for leveraging client data to drive business solutions.

- Assess the effectiveness and accuracy of new data sources and data gathering techniques.

- Develop advanced Machine learning and deep learning models for predictive analysis.

- Use predictive modeling to increase and optimize customer experiences and revenue generation, increase growth, and drive profit.

- Help with other activities to grow Aryng, including blogging, evangelizing the use of data science, mentoring trainees, hiring, business development, and marketing activities.

This role requires mandatory overlap hours with clients in the US from - 8 am - 1 pm PST- .

Key Skills expected :

- Proficient in Python and/or R

- Experience with machine learning models such gradient boosting, SVM, random forest, clustering, KNN, etc.

- Statistical modelling and mathematical modelling

- SQL

Good to have :

- Knowledge of deep learning models

- Knowledge of deep learning framework

- Knowledge of cloud computing infrastructures.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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