CRED is Hiring for Data Scientist

CRED is hiring for Data Scientist through its hiring drive 2023.

CRED is an exclusive community for India’s most trustworthy and creditworthy individuals, where the members are rewarded for good financial behavior. CRED was born out of a need to bring back the focus on a long lost virtue, one of trust, the idea being to create a community centered around this virtue. a community that constantly strives to become more virtuous in this regard till they finally scale their behavior to create a utopia where being trustworthy is the norm and not the exception. to build a community like this requires a community of its own; a community special in its own way, working towards making this vision come true.

here’s a thought experiment: what do you get when you put a group of incredibly passionate and driven people and entrust them with the complete freedom to chase down their goals in a completely uninhibited manner? answer: you get something close to what we have at CRED; CRED just has it better.

here’s what will be in store for you at CRED once you join as a part of the team

what will you do:

• own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.
• create scalable solutions to business problems using statistical techniques, machine learning, and NLP
• design, experiment and evaluate highly innovative models for predictive learning
• work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations
• establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.
• research and implement novel machine learning and statistical approaches
• publish and/or talk about your work at external conferences.

you should apply if you have:

• 1–3 years of experience in data science.
• in-depth understanding of modern machine learning techniques and their mathematical underpinnings.
• demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.
• strong programming skills (Python, Java, or Scala preferred).
• high proficiency in at least one of the following broad areas: machine learning, statistical modeling/inference, information retrieval, data mining, NLP

how is life at CRED?

working at CRED would instantly make you realize one thing: you are working with the best talent around you. not just in the role you occupy, but everywhere you go. talk to someone around you; most likely you will be talking to a singer, standup comic, artist, writer, an athlete, maybe a magician. at CRED people always have talent up their sleeves. with the right company, even conversations can be rejuvenating. at CRED, we guarantee a good company.

hard truths: pushing oneself comes with the role. and we realise pushing oneself is hard work. which is why CRED is in the continuous process of building an environment that helps the team rejuvenate oneself: included but not limited to a stacked, in-house pantry, with lunch and dinner provided for all the team members, paid sick leaves and a comprehensive health insurance.

to make things smoother and to make sure you spend time and energy only on the most important things, CRED strives to make every process transparent: there are no work timings because we do not believe in archaic methods of calculating productivity, your work should speak for you. there are no job designations because you will be expected to hold down roles that cannot be described in one word. since trust is a major virtue in the community we have built, we make it a point to highlight it in the community behind CRED: all our employees get their salaries before their joining date. a show of trust that speaks volumes because of the skin in the game.

there are many more such eccentricities that make CRED what it is but that’s for one to discover. if you feel at home reading this, get in touch.

Online Interview Tips:

Video interviews are the new normal. In an age of powerful technology, it’s no longer necessary or practical to bring candidates to you or to go to them. In fact, people are increasingly interviewed and hired without an in-person meeting. Here are ten tips on making sure you ace your next video interview:

1. Know your time zones: The video allows us to speak across (great) distance. Make sure you’re clear if suggested interview times are in your time zone or the interviewers. Try converting the time zone according to your specific time zone.
   Know your tech. Familiarize yourself with whatever technology the interviewer has asked you to use (Skype, Zoom, etc.). If you’ve never used the tool before, get comfortable with the interface in advance: how should your computer be positioned so the interviewer can see your face at a comfortable angle? Are your camera and microphone connected and working? Many people un internationally make a bad impact on the interviewers because of this.
2. Minimize off-screen distractions. The only person you should be interacting with during a video interview is the interviewer.
3. Choose a proper background: When choosing a space to show up for a video interview, be conscious of how the setting you’re calling from reflects on you: choose a well-lit room where you can sit in front of a neutral background.
4. Avoid backlighting (when no one can see your face) and spotlighting (when you sit with light close to you and look like you’re telling a ghost story at a campfire).
5. Be prepared for glitches. Distractions will happen. Technology will fail. Stuff will come up. Handle these smoothly and professionally.
6. Be your best and authentic self. Being unfamiliar or uncomfortable with technology is not an excuse for a poor interview. As soon as you know you’ll be doing a video interview, do what it takes to feel confident and at ease on screen. If that means you need to practice in advance with a friend or colleague, do so.
7. Emphasize your skills and Achievement: Focus on your skills and accomplishments, including high school/college coursework, volunteer and co-curricular activities, and your computer and language skills. Previous internships or work experiences are important as well as describing your transferable skills: communication, interpersonal, organization, strong analytical and problem solving, and more.
8. Emphasize the Positive: You may be asked during the interview to give a list of your strengths and weaknesses. Remember in these types of questions to focus on the positive. When referring to weaknesses, recognize those things you feel you need to work on and quickly shift to actions you have taken to improve in this area. Specific examples can be helpful to illustrate your progress.
9. Close the interview with confidence: The beginning and end of the interview can be the most crucial aspects of the interview. End your interview with confidence. Thank the interviewer for his/her time and ask when you may expect to hear back from the employer.
10. Follow up the interview with a thank-you note: Take this opportunity to clarify a topic discussed in the interview and to reaffirm your interest in the organization and the internship. Send a thank-you note to everyone you interviewed on the day of your interview.

The questions you should prepare for:

1. Tell me about yourself
2. Why do you want to work at this company?
3. What are your strengths and weaknesses?
4. Tell me about an experience when you made a mistake and how you fixed it?
5. What are the three things you wish to see in the firm you are working for?
6. Where do you see yourself in 3 years/5 years/10 years?
7. Tell me about anything else which you have done or you are proud of but it is not in your resume?
8. What are your expectations from the company or colleagues?
9. What are your hobbies?
10. Do you have any questions for us?

About Hexhybrids:

HexHybrids is a community group for students interested in emerging technologies. HexHybrids represents a versatile community of innovators developing and exploring Frontend, Backend, Cloud Computing, AI-ML, Cross-platform development, and many more.

We also provide technical, non-technical as well as career growth assistance to students pursuing various STEM fields such as computer science, electronics engineering, mechanical engineering, MBA, etc by highlighting active internships, jobs, scholarships, or free courses so that more and more people can apply for those and land a job.