Data Science, ML, AI, and Quant Career Coaching Services
1:1 Career Coaching, Mock Interviews, and Offer Negotiation
Get targeted support from coaches at top companies. Whether you need career strategy, role-specific mock interviews, offer negotiation guidance, or prep for quant roles, we tailor each session to your goals.
1 Session
Ideal for focused support on one immediate goal.
$247/One-Time
- 1 x 60-Minute Coaching Session
- Choose your focus: Career Coaching, Mock Interview, or Offer Negotiation
- Support for Data Science, ML, AI, and Quant roles
- Personalized feedback and action plan
- Slack Access
3 Sessions
Best for candidates who want structured improvement across multiple sessions.
$647/One-Time
- 3 x 60-Minute Coaching Sessions
- Flexible mix across Career Coaching, Mock Interviews, and Offer Negotiation
- Role-specific prep for Data Science, ML, AI, and Quant interviews
- Detailed feedback after each session
- Slack Access
5 Sessions
Great for career transitions, deeper interview prep, and negotiation support.
$1047/One-Time
- 5 x 60-Minute Coaching Sessions
- Longer-term roadmap for interviewing, transitions, and compensation strategy
- Mock interview + offer negotiation support for Data Science, ML, AI, and Quant roles
- Prioritized improvement plan and follow-ups
- Slack Access
Coached by Instructors from Top Companies
We are coaches who've been both candidates and interviewers at top companies. We can help you ace your upcoming interviews the same way we succeeded ours and helped candidates land top data jobs.
Dan Lee
Data & AI Lead
Dan is a seasoned data scientist and ML coach with 10+ years of experience at Google, PayPal, and startups. He has helped candidates land top-paying roles and offers personalized guidance to accelerate your data career.
AI/ML System DesignSystem DesignSQLA/B TestingCausal InferenceCoding
Abhishek Kumar
ML Tech Lead
I’m a MLE and Tech Lead with 15 YoE. I provide expertise in MLE, statistics, software engineering. As I have been an ML Tech Lead at Meta and Google, I provide expert coaching to help you with coding, system design, ML system design interviews. And, help you break into senior, staff and managerial roles.
MLESystem DesignCodingDeep LearningLeadership
Greg Mikels
Lead AI Engineer
Lead AI Engineer with 13+ YoE across IT infrastructure, AI/ML, and data science, implementing large data-driven solutions for global enterprise organizations, with leading technologies from Google & Microsoft.
CodingMLML InfraSystem DesignAI/ML System DesignGCP
Victor Garcia
Senior Data Scientist
I am a DS lead at big tech and startups with 6 YoE. I’ve personally received multiple job offers including $300K+ comp at reputable companies like TikTok and LinkedIn. I provide personalized coaching on AB experiments, causal inference, optimization, statistical analysis and modeling.
Data ScienceA/B TestingCausal InferenceStatsProduct
Nidhin Pattaniyil
Senior ML Engineer
Nidhin is a Machine Learning Engineer on Walmart eCommerce’s search team, building retrieval and ranking models that power product discovery at scale.
CodingMLML InfraSystem DesignAI/ML System DesignAWS
Christian Monson
ML Scientist
Christian is an independent AI mentor with 9 years of industry experience, including 5 years at Amazon improving Alexa. He specializes in LLM, NLP and Speech Recognition.
CodingMLML InfraSystem DesignAI/ML System DesignAWS
Claire K.
Technical Recruiter
Claire is an expert technical recruiter with experience hiring for Google. She empowers candidates to optimize profiles, navigate recruitment, and negotiate offers.
ResumeRecruiter ScreenCulture-Fit Interview
Anirban B.
Senior Data Scientist
Anirban is a senior data scientist with a proven track record at Google and Pinterest. He specializes in interview coaching and provides actionable feedback to help candidates master the data science interview process.
MLProductStatsCodingSQLCausal Inference
Michael Fronda
Data Scientist
Michael is a data scientist at Meta with 6 years years of experience. He is highly experienced in designing and running AB experiments and developing ML solutions at Meta.
MLProductStatsCodingSQLCausal Inference
How our coaching calls work
Get targeted support for career planning, mock interviews, offer negotiation, and quant role prep. Every session is tailored to your role, timeline, and goals.
🚀 Step 1 - Purchase Credit
Choose your tier for 1:1 support with coaches from top companies. Use sessions for career coaching, mock interviews, offer negotiation, or quant role preparation.
📅 Step 2 - Schedule Session
Receive a Calendly link to schedule a session with your coach. If you purchase a pack, you can select multiple coaches.
⭐ Step 3 - Join Your Coaching Session
Meet your coach for a focused 1-hour session. Depending on your goals, we can run a mock interview, build your career plan, prepare for quant roles, or review your offer negotiation strategy.
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email at contact@datainterview.com and we'll get back to you as soon as we can.
- What can I use a coaching session for?
- You can use each session for career coaching, mock interviews, offer negotiation support, and role-specific prep across Data Science, ML, AI, and Quant tracks. We tailor each call to your goals and timeline.
- Who is coaching best for?
- Coaching is designed for candidates targeting data and quant roles, including students, career switchers, and experienced professionals preparing for interviews or compensation discussions.
- Can you support quant interview preparation?
- Yes. We support quant-focused preparation, including role-specific mock interviews and strategy guidance based on your target firms and interview format.
- Do you provide offer negotiation support?
- Yes. We can help you evaluate your offer, identify negotiation levers, and build a clear negotiation strategy for compensation and role scope.
- Do I get to select the coach?
- Yes, you will be able to select the coach upon purchase of your session.
- How long is each coaching session?
- Each coaching session is 60 minutes and is focused on a specific objective you define with your coach.
- How should I prepare before the call?
- Share your target role, company list, timeline, and any relevant materials such as your resume, job description, interview feedback, or current offer details so your coach can personalize the session.
- How does scheduling work after purchase?
- After purchase, you will receive a Calendly link to schedule your session. If you buy a multi-session pack, you can schedule multiple sessions and choose different coaches.
- What is the difference between the 1, 3, and 5 session plans?
- The 1-session plan is best for immediate support. The 3-session plan is ideal for iterative improvement. The 5-session plan is best for deeper preparation, career transitions, and offer negotiation strategy.