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Behavioral Interview - Coggle Diagram

- - - - Senior data scientist
        
        Hello, my name is Allie], and I am thrilled to be here. With over three years of experience in data science, I specialize in translating complex datasets into actionable insights to drive business strategies and innovations. My expertise includes machine learning, statistical analysis, data visualization, and big data technologies, utilizing tools like Python, SQL. My background also encompasses domain knowledge in product area in tech industry, where I have implemented data-driven solutions that resulted in improved user retention rate. I'm passionate about harnessing the power of data to solve challenging problems and am particularly interested in [mention any specific areas, e.g.predictive analytics]. Besides the technical aspects, I take pride in my ability to communicate complex findings effectively to diverse audiences, and mentor and guide teams to foster an environment of continuous learning and innovation. I am excited about the opportunity to contribute my expertise to [Company Name] and collaborate on projects that align with my dedication to driving growth and efficiencies through data analytics.
    - - Who you are
      - How you came to be where you are today
      - What you're looking for now
  - - - Can you tell me more about the company culture and work environment?
      - How does the data science team collaborate with other teams in the company?
      - What is the interview process?
      - What is the org’s structure? What is the size of the data scientist team?
      - What is your timeline and what are the next steps?
    - - In your opinion, what are the top three challenges facing the business?
      - What is your vision of the company?
      - What gets you most excited about working here?
      - what are the major problems the team is trying to solve?
      - What's the typical workflow
      - who’s our stakeholder and partner
      - What are the major performance indicators of the team?
      - What is your vision for the next year for the company? What gets you most excited working here?
    - - What do you think is the most exciting opportunity for the company or product?
      - In your opinion, what are the top three challenges facing the business?
      - What do you think is the hardest/challenging part of this role?
      - Any interesting project you could share with me?
      - the interviewer’s personal feelings about company wise and culture
      - What are some interesting projects you are working on?
  - - - Using I
    - - doe not need to be positive, what lesson learned(transparency and clear communication)
  - - - Make project interesting
        
        Zoom out and think about big picture, make a good story, why it is important
        
        What data you are evaluating and analyzing
        
        The project is critical to shift a business metric
        
        Data quality is critical to decision making
        
        In charge of obtain reliable data
      - Remove useless details
        
        Keep: Your role in the project
        
        Keep: Only details that are relevant to your contribution
        
        Chose a single business metric in an organized delivery
        
        Think through all the details before interview to prepare for the follow-up questions about the details
      - Engage the interviewer
        
        Avoid talking nonstop
        
        Make it a conversation
        
        Make a pause to ask if any question and make sure they understand you
        
        Tweak the project
        
        technical aspects
        
        For non-technical: collaboration with different teams, how influence the decision making process
    - - Overview(Goal and Impact)
        
        Goal, business goal
        
        More context, how long was it
        
        Impact
      - Provide short context by ask interviewer
      - Describe 2-3 challenges
        
        Technical
        
        Defining success metrics
        
        Obtaining data
        
        Dealing with big dataset
        
        Processing data
        
        Model training and deployment
        
        non-technical(project management, coordination, leadership)
        
        Objection from other teams
        
        Get other people to buy into your idea
        
        Delivering project on time
        
        Unlock yourself, your team or other teams
      - After sharing all challenges share one interesting finding, observation, insight
  - - - Deadline, underperform teammate
      - Leadership
        
        Be proactive, passion, flexibility, role model, communication, empathy, constructive feedback
    - - Interested in the industry, surrounded by talents, excited by the problem