Urgent! Principal Data Scientist Job Opportunity in India – Now Hiring Blackstraw

Job description

We are looking for Senior Data Scientists to lead a data science team and help us gain useful insight out of raw data.

Senior Data Scientist responsibilities include managing the data science team, planning projects and building analytics models.

You should have a strong problem-solving ability and a knack for statistical analysis.

If you’re also able to align our data products with our business goals, we’d like to talk to you.

Your ultimate goal will be to help improve our AI services by making the most out of our client’s data.

Responsibilities:

You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains.

Define, develop, maintain and evolve data models, tools and capabilities.

Communicate your findings to the appropriate teams through visualizations

Collaborate and communicate findings to diverse stakeholders

Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization.

Ability to build, train and lead a team of data scientists.

Follow/maintain an agile methodology for delivering on project milestones.

Excellent oral, presentation, and written communication skills.

Experience applying statistical ideas and methods to data sets to answer business problems.

Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies.

Preferred Qualifications:

Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree.

6 plus years total experience with minimum of 3 years of experience in a related position, as a data scientist or business analyst building Computer Vision, NLP and Predictive analytics solutions for various types of business problems.

Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch

Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++

Strong individual planning and project management skills, able to juggle multiple tasks and priorities.

Self-motivated and driven to deliver agreed results on-time

Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience

Strong influence and relationship management skills.

Required Skill Profession

Blackstraw interview tips for Principal Data Scientist

Here are some tips to help you prepare for and ace your Principal Data Scientist job interview:

Before the Interview:

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

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

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

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Principal Data Scientist interview at Blackstraw, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Blackstraw's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

Principal Data Scientist

Job description

Company: Blackstraw

Location: India, India, India

Job Type: Full-time

Salary: Undisclosed

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