Staff Data Scientist

Harnham; San Mateo (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Join an innovative travel bookings company valued at over $2 billion as a Staff Data Scientist. In this impactful role, you'll lead initiatives to enhance machine learning models in pricing, lead scoring, and personalization. Collaborate with cross-functional teams to turn insights into actionable strategies while shaping the company's data science infrastructure. This fast-paced startup environment offers a competitive salary, equity options, and a focus on work-life balance. If you're passionate about leveraging data science to drive business decisions, this opportunity is perfect for you!

Benefits

Medical insurance

Vision insurance

401(k)

Pension plan

Qualifications

• Strong experience in pricing models and optimization.
• Extensive background in lead scoring and predictive analytics.
• Expertise in Python and SQL with machine learning skills.

Responsibilities

• Lead end-to-end data science initiatives including model selection and training.
• Collaborate with engineering and business teams to drive results.
• Enhance data science strategy with analysts and data engineers.

Skills

Pricing Models

Lead Scoring

Python

SQL

Machine Learning

Generative AI

Statistical Modeling

Collaboration

Education

Bachelor in Mathematics

Bachelor in Statistics

Bachelor in Engineering

Bachelor in Computer Science

Tools

Snowflake

AWS

scikit-learn

numpy

pandas

Job description

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $240,000.00/yr

Direct message the job poster from Harnham

Recruitment Consultant-Credit Risk and Data Science (Phoenix) at Harnham

Role: Staff Data Scientist

Salary: $215k base is the mid point. Aim for $180k - $240k with anything above needing to be VERY strong. + equity (stock options typically from 15,000 - 20,000 options, Roughly $120k - $160k)

Senior DS Salary is $150k - $185k base (stock options typically from 10,000 - 15,000, Roughly $80k - $120k)

VISA: US Citizen or Green Card only

This travel bookings company is backed by top investors, they leverage data science and machine learning to drive business decisions and enhance customer experiences. With a valuation of $2.13 billion, they are on track for impressive growth and looking to expand their team significantly by the end of 2025.

The Role:

As a Staff Data Scientist, you will lead initiatives to improve machine learning models and services, specifically in pricing, lead scoring, and personalization. You'll work closely with engineering and business teams to turn insights into actionable strategies while helping shape the company's data science infrastructure. Strong communication skills are essential to present findings to both technical and non-technical audiences.

Key Responsibilities:

• Lead end-to-end data science initiatives (data gathering, feature engineering, model selection, training, and monitoring).
• Collaborate with engineering and business teams to drive results.
• Enhance data science strategy and infrastructure with analysts and data engineers.
• Provide constructive feedback and actively contribute to discussions.

Requirements:

We are prioritizing the following expertise:

• Pricing: Strong experience in pricing models and optimization.
• Lead Scoring: Extensive background in lead scoring and predictive analytics.
• Expertise in Python (scikit-learn, numpy, pandas) and SQL.
• Strong machine learning and statistical modeling skills, with a deep understanding of model selection and fine-tuning.
• Experience with Generative AI.
• Ability to collaborate with stakeholders and provide constructive feedback.
• Snowflake and AWS experience is a plus.
• Background in a quantitative discipline (Mathematics, Statistics, Engineering, Computer Science, etc.).

Why Join?

• Work in a fast-paced, high-energy startup environment.
• Impactful role at a company valued at over $2 billion.
• Competitive salary and benefits, with a focus on work-life balance.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Transportation, Logistics, Supply Chain and Storage

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Pension plan

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