Is 0.06% equity good for a Data Scientist at Series A?

0.06% ownership is within typical range for a Data Scientist at Series A. Grants often range from 0.03% to 0.15% depending on seniority. The key is whether the role has impactful ML/ML infrastructure work that drives company value.

What is a good salary for Data Scientist at Series A startup?

Data Scientist base salary at Series A startups typically ranges from $150K to $190K. $165K is reasonable. Data scientists with specialized ML experience or PhDs can negotiate toward the higher end.

How much is 30,000 startup shares worth for a Data Scientist?

Your equity value = (Exit Share Price - Strike Price) × Shares. If the company exits at $10/share in 5 years and your strike is $2, your 30,000 shares are worth $240,000 before taxes. That's 1.5× your annual salary — solid upside for the risk.

Real Offer Example

Data Scientist at Series A Startup

Actual offer breakdown: $165,000 base salary plus 30,000 stock options (0.06% ownership). See total compensation and potential equity value.

📋 Offer Details

Role Data Scientist / ML Engineer

Company Stage Series A

Base Salary $165,000/year

Equity Grant 30,000 options

Strike Price $2.00/share

Current 409A $6.00/share

Ownership % ~0.06%

Location Seattle, WA

📊 Total Compensation Analysis

Equity-to-Salary Ratio at Reasonable Exit
1.5×

                    At a $10/share exit in 5 years, your equity is worth $240,000 before taxes.
                

Fair Market Typical for Series A Data Scientist

Breakdown:

Annual base salary: $165,000 (fair for Series A in Seattle)
Current option spread: $120,000 (30,000 × ($6 - $2)) — paper value today
5-year exit value (25% growth/year, 25% dilution): ~$240,000 before taxes
Total 5-year compensation: $1,065,000 ($825K salary + $240K equity)

🎯 Exit Scenario Projections

Exit Outcome	Share Price	Equity Value	Total 5-Year Comp
Modest exit	$6/share	$60,000	$885,000
Reasonable exit	$10/share	$240,000	$1,065,000
Strong exit	$18/share	$480,000	$1,305,000

*Assumes 25% annual growth in 409A, 25% dilution from future rounds, 5-year horizon.

🔍 Market Context & Negotiation Tips

How this compares:

Salary ($165K) is within range for Data Scientist at Series A
0.06% equity is typical for data roles (often 0.03%–0.15%)
The equity-to-salary ratio of 1.5× is healthy for this stage
Data scientist equity varies widely based on impact — core ML infrastructure roles get more

If you get this offer, consider negotiating:

Ask for more equity: "Given the ML infrastructure work and the impact on our product, could we bring the grant to ~36,000 shares (0.07%)? That would align better with data science benchmarks."
Clarify scope: "I'd like to understand the expected impact — is this role building production ML systems or supporting analysis? The equity should reflect that scope."
Request computing resources: "Can we budget for GPU/cloud credits for model development? That's essential for the work."

Data Scientist at Series A Startup

📋 Offer Details

📊 Total Compensation Analysis

🎯 Exit Scenario Projections

🔍 Market Context & Negotiation Tips

Analyze Your Own Offer