Poshmark is Hiring for Data Science Interns
Poshmark is hiring for data science interns through its internship drive 2021.
About the job
Data Science Intern
Are you a person who is passionate about using Machine Learning to create and deliver value using data? Poshmark’s Data Science team is looking for an intern who can work with our data scientists to deliver on some of the most challenging Data Science/ML initiatives. As a market leader in Social Commerce, Poshmark faces a unique opportunity to utilize our massive multi-platform social and commerce data to shape social commerce and create value for our users. With 400+ MM events per day and 30+ terabytes of exponentially growing data, Poshmark presents a unique opportunity to innovate cutting edge data science products. This internship provides an opportunity to learn about and contribute to Data Science initiatives across product, marketing, Posh markets, operations and community and help solve some of the most challenging problems in social commerce like pricing, search ranking, product and people recommendation, fraud prevention and many more.
- Partner with other data scientists to deliver the ongoing data science initiatives
- Build Machine Learning models to solve business problems
- Create a readable and comprehensive documentation of your work
- Implement new algorithms or tweak existing algorithms based on research papers
- Work on POCs to establish the feasibility of solving problems the existing team has not yet worked on
Qualifications And Skills
- Persuing or just finished a degree in relevant quantitative field such as Statistics, Math, Computer Science or Data Science
- Familiarity with Data Science and Machine Learning techniques and concepts (e.g. regression, classification, loss functions, evaluation metrics, ensembles, cross validation)
- Hands-on knowledge of Python and data science / ML packages
- Familiarity with SQL – any hands on experience is a big plus
- Familiarity with Spark or any other big data processing framework is a plus
- Good understanding of data structures and algorithms
- Strong understanding of Statistics, Linear Algebra and Calculus
- Ability to implement new algorithms from research papers
- Good written and verbal communication skills
- Willingness to learn new tools and techniques to get things done
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:
- 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.
- Minimize off-screen distractions. The only person you should be interacting with during a video interview is the interviewer.
- 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.
- 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).
- Be prepared for glitches. Distractions will happen. Technology will fail. Stuff will come up. Handle these smoothly and professionally.
- 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.
- 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.
- 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.
- 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.
- 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.
Question you should prepare for:
- Tell me about yourself
- Why do you want to work at this company?
- What are your strengths and weaknesses?
- Tell me about an experience when you made a mistake and how you fixed it?
- What are the three things you wish to see in the firm you are working for?
- Where do you see yourself in 3 years/5 years/10 years?
- Tell me about anything else which you have done or you are proud of but it is not in your resume?
- What are your expectations from the company or colleagues?
- What are your hobbies?
- Do you have any questions for us?
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.