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Data Scientist - R/Python Job Opening In Pune – Now Hiring Workeagle


Job description

<p><p>Job Description :</p><p><br/></p><p>- Must have total 6+ YOE in hands-on Data Science, Analytics, Algorithms, NLP, Machine Learning</p><p><br/></p><p>- Must have at least 3+ YOE in working for high-traffic product companies to create ranking models, recommendation engines using NLP, AI/ML<br/><br/>- Must have strong hands-on experience in statistical tools (Python, R, SAS, or open-source libraries)<br/><br/>- Must have worked on creating Data modelling / algorithms using models like taxonomy, ontology, tags, thesaurus, and metadata models<br/><br/>- Must have experience with Big Data frameworks (Hadoop, Spark) for search/ML workloads<br/><br/>- Must have Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras, Spark ML).<br/><br/>- Must have experience with SQL/NoSQL databases (CosmosDB, Cassandra, MongoDB).

</p><p><br/></p><p>- The Primary focus of this role is to develop and manage applications involved with Search Systems.

</p><p><br/></p><p>- Maintain and upgrade search indices for large document repositories, as well as optimizing indexing/queries and supporting analytics.

</p><p><br/></p><p>- He will be leading a Team of search engineers who build Tags, taxonomy, Thesaurus and ontology data models and standard to define and organize our customers search experience.</p><p><br/>- Drive and coordinate cross-functional projects with broad range of Loan, Insurance and investment products owners, engineers, designers and other groups that may include architecting new data solutions<br/><br/>- Analyze website metrics and customer behaviour data to make intelligent decisions on optimizing our search model.

</p><p><br/></p><p>- Collaborate and consult directly with key stakeholders, technical teams and leadership on solutions for taxonomy and metadata that will positively impact the customers search experience<br/><br/>- Expand and refine data retrieval techniques to use our extensive product catalog and improve customer data quality .</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Pune, India, highlighting market share and opportunities for professionals in Data Scientist roles.

149742 Jobs in India
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3698 Jobs in Pune
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Download Data Scientist Jobs Trends in Pune and India

Are You Looking for Data Scientist R/Python Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Workeagle adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data Scientist R/Python typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist R/Python Job Success

Workeagle interview tips for Data Scientist   R/Python

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Before the Interview:

Research: Learn about the Workeagle's mission, values, products, and the specific job requirements and get further information about

Other Openings

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Data Scientist R/Python interview at Workeagle, research the company, understand the job requirements, and practice common interview questions.

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