Housing
Housing dominates the monthly budget at $1,665, with rent for a 1-bedroom city center apartment at $1,467 driving most costs. Basic utilities add $146 and internet $51, making this category 80% of total monthly expenses.
Market ranges & how to evaluate your offer
Most offers in Hillsboro fall between $239k–$525k depending on seniority, location, and role scope.
Local vs National
Hillsboro
Salary data is self-reported and varies by scope, company, and location. Use ranges, not single numbers.
Compare your total comp for Data Science Manager — pick seniority, enter an offer, and preview the layout. Percentiles use your selected seniority when market data is available.
Seniority-level breakdown for this market.
Cost of living breakdown for Hillsboro, OR market.
Estimated monthly costs for this basket are about 85% of our comparable national baseline—day-to-day spending tends to go further here.
How the estimated monthly cost bundle splits across categories for a typical Data Science Manager earner.
$2,071.25/ mo
HOUSING
$1,665.36 USD (80.4% of est. monthly costs)
FOOD
$201.06 USD (9.7% of est. monthly costs)
TRANSPORT
$100.00 USD (4.8% of est. monthly costs)
LIFESTYLE
$104.83 USD (5.1% of est. monthly costs)
Housing dominates the monthly budget at $1,665, with rent for a 1-bedroom city center apartment at $1,467 driving most costs. Basic utilities add $146 and internet $51, making this category 80% of total monthly expenses.
Food costs run $201 monthly, reflecting Portland metro pricing patterns with restaurant meals at $15 and staples like milk ($1.20/liter) and chicken ($11.45/kg) at moderate levels. Grocery basics remain affordable compared to major West Coast cities.
Public transit costs $100 monthly for a regular pass, typical for Portland-area transit systems. This covers MAX light rail and bus access throughout the metro region, often preferred by tech professionals commuting to Nike, Intel, and other major employers.
Discretionary spending totals $105 with gym memberships at $28, movie tickets $12.50, and coffee around $5 per cappuccino. These leisure costs represent just 5% of the total budget, leaving room for additional entertainment and activities.
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Location-specific ranges with optional cost-of-living adjustment.
Data Science Manager compensation varies significantly by location, with companies using different approaches for remote roles. Tech giants like Google and Meta typically offer location-adjusted salaries, paying $180K-220K in San Francisco versus $140K-170K in Austin for similar positions. However, some startups and AI-focused companies provide national pay bands, offering consistent $160K-200K regardless of location to attract top talent in competitive markets.
Hybrid work arrangements are becoming standard for Data Science Manager roles, with most companies requiring 2-3 office days per week. When negotiating remote compensation, emphasize your ability to manage distributed teams and implement asynchronous collaboration tools. Many organizations offer 10-15% premiums for managers who can effectively lead remote data science teams, as this skill directly impacts productivity and retention.
Moving from high-cost metros like San Francisco ($200K salary) to lower-cost areas like Denver ($160K) can significantly improve purchasing power despite the pay reduction. A $40K salary decrease often translates to $60K+ in effective income gains due to housing, tax, and living cost differences. Data Science Managers frequently leverage this arbitrage while maintaining access to top-tier opportunities through remote work arrangements.
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How adjacent roles compare in pay and scope.
$120k-$416k
High overlap in data-scientist roles
Details$109k-$400k
High overlap in solution-architect roles
Details$120k-$380k
High overlap in software-engineer roles
Details$85k-$249k
High overlap in data-analyst roles
Details$95k-$348k
High overlap in information-technologist roles
Details$120k-$495k
High overlap in software-engineer roles
DetailsPractical steps that move the number without damaging the relationship.
Start your ask above the median. You'll rarely be offered more than you ask, so anchor high and let the employer negotiate you down.
Stronger approach:
Say 'market data puts this role at $X–$Y' — not 'I was hoping for more'. External benchmarks are harder to argue against than personal expectations.
Stronger approach:
When base is stuck, negotiate equity vesting schedule, signing bonus, or accelerated refresh grants. Total comp has more levers than base alone.
Stronger approach:
Ask for 48 hours to review. This creates time to counter and signals that you take offers seriously — not that you are uncertain.
Stronger approach:
Generate an aware negotiation email using Google market positioning data.
Mock interviews tailored to Google's process and evaluation criteria.
Common questions about Data Science Manager compensation.
Tools built for professionals evaluating offers and preparing for interviews.
Our AI Interview Copilot listens to your live interview and feeds you real-time answers, so you walk in confident and walk out with the offer.
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