Job Description

Company Overview:

Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2025, with an expanding global footprint in the US (New York, Boston, Chicago, Tampa, Charlotte, Dallas, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society.

Position Overview:

BIP US is seeking to grow its US consulting team and is looking for a Data Scientist with 5-7 years of experience to join our BIP Bay Area consulting team. This consultant will work at the intersection of Finance and Engineering, helping us optimize revenue, track key financial metrics, and improve decision-making with data-driven insights. This consultant must thrive in fast-paced environments, have a passion for digging into data to drive business strategy, and be able to bridge the gap between Finance and Engineering.

You must have valid US work authorization and must physically reside in the Bay Area, within a 50-mile commute. We are unable to support relocation costs.

Please do not apply for this position unless you meet the criteria outlined above.

Key Responsibilities:

• Usage-Based Billing Analysis – Develop and refine billing models by product, ensuring alignment between revenue and usage data.
• Tracking Credits & Cost Margin Analysis – Monitor credit usage and analyze cost margins to optimize pricing strategies.
• Churn Modeling & Customer Retention – Build predictive models to identify risk factors for customer churn and develop strategies to improve retention.
• Agent Conversion Analytics – Analyze user behavior and engagement data to improve conversion rates from free to paid customers.
• Cycle Tracking & ARR Waterfall – Monitor customer lifecycle trends, track Annual Recurring Revenue (ARR) movements, and forecast financial outcomes.
• Cross-functional Collaboration – Work closely with Finance, Product, and Engineering teams to ensure data insights drive strategic business decisions.

Qualifications:

• Bachelor’s degree and 5-7 years of experience in Data Science, Analytics, or a related field.
• Strong expertise in data analytics, financial modeling, and business intelligence.
• Experience with programs & tools such as Hashboard, Amplitude, Stripe, Google, Apple, DBT Labs, Bitquery, and Python.
• Exceptional communication and storytelling skills – ability to present complex data in a clear and compelling way to executives.
• Strong problem-solving skills with a curious and proactive mindset –analyzing data, asking the right questions and finding solutions accordingly.
• Experience working cross-functionally with Finance (CFO/FP&A) and Engineering teams.
• Ability to thrive in ambiguity and adapt quickly in a high-growth startup environment.

**The base salary range for this role is $150,000-$175,000**

Benefits:

• Choice of medical, dental, vision insurance.
• Voluntary benefits.
• Short- and long-term disability.
• HSA and FSAs.
• Matching 401k.
• Discretionary performance bonus.
• Employee referral bonus.
• Employee assistance program.
• 9 public holidays.
• 22 days PTO.
• PTO buy and sell program.
• Volunteer days.
• Paid parental leave.
• Remote/hybrid work environment support.

For more information about BIP US, visit .

Equal Employment Opportunity:

It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

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