You work with teams of data scientists and engineers to pull vast data sets together and transform valuable info into actionable insights. You formulate data-driven decisions to improve the company’s growth, direction, and engagement.
But sometimes your resume might still feel tricky to navigate. What do you include, and how do you make sure you stand out?
Data scientist managers like you have requested my advice for years when it comes to optimizing their resumes. Check out these 3 examples and seasoned tips to gain the best of the best!
Related resume examples
What Matters Most: Your Skills Section & Job Experience
Recruiters want you to go beyond the surface-level skills that can be found on just any data science resume and give them specifics. Don’t just say “strategizing” when you can reference agile methodologies and propensity modeling instead.
Be specific about any niche programming languages or software you use to make things happen, too. List names rather than categories, and think critically about which of your skills best showcase your strongest points.
Many people make the mistake of being too broad or generic with their skills, instead of showing their full capabilities with solid examples like these:
9 Top Data Science Manager Skills
- Keras
- NumPy
- Redshift
- NoSQL
- Git
- Propensity Modeling
- Agile Methodologies
- Customer Segmentation
- Productionizing Models
Sample Data Science Manager Work Experience Bullet Points
While your skills list should be highly technical and focus primarily on your hard skills, your experience section is a great place to show that you can assist others with your knowledge.
Your work history should show the path you took to advance to management, including your ability to connect with others and make a positive impact within a group.
Speaking of impact, you’ll need to measure it whenever you share your accomplishments. Use quantifiable data to back your claims–otherwise, you sacrifice some eye-catching credibility!
Here are some samples:
- Built ETL infrastructures and delivered data to Redshift, which increased stakeholder decision-making output by 42%
- Owned energy production reporting using Python and SQL, saving over 31 hours of manual work hours each week
- Supervised data science and data engineering teams in developing marketing mix models that led to an ROI improvement of 21% on digital market spend within 13 months
- Identified duplications across team projects and reduced them by 92% by increasing coordination and compatibility
- Recommended over 114 actionable steps within the first year that improved automation by 7% and boosted profits by 9%
Top 5 Tips For Your Data Science Manager Resume
- Demonstrate ownership
- Every managerial role requires a strong drive and unshakeable sense of project ownership. You’re the go-to for many of your coworkers, so show recruiters that you’re experienced in helping them meet company goals.
- Really stress the metrics
- Use more than one per experience point, if you can! The more quantifiable data you can use to measure your success, the better. Just make sure each point remains sleek and readable.
- Don’t get too fancy
- While you may feel compelled to balance out your technical skills with a super-friendly color palette, don’t get carried away. A small pop of color can convey approachability, but be minimalistic about it!
- Software specialization is key
- Go beyond basic stuff like “Python” and specify which niches you’ve settled into. Including names like Pandas and Flask will show depth of knowledge and demonstrate your ability to adapt to unique demands.
- Don’t forget your cover letter
- You can’t afford to ramble in your resume, so take note of any key points that could use some extra background. Save these for your cover letter to provide fresh information and a bigger picture of your impact.
Frequently Asked Questions
- Do I have to customize every time?
- Yes, but it’s not bad! All you really need to do is revisit the job description and comb it for skills that you have, programming languages you’re a pro at, and company goals similar to projects you’ve already completed. Reflect these in your resume.
- What fonts should I use?
- Recruiters will initially only spend a few seconds skimming your resume, so make it as easy as possible for them to read your stuff. Use clear, simple fonts and avoid anything that looks cartoonish or unprofessional.
- How do I show my versatility?
- You can easily show versatility through context. Think of as many different types of initiatives as you can from your work history: Did you develop an extra-awesome forest model? What about that amazing infrastructure you built? Think big!
