3 дня назад
Senior Data Scientist - Content (Machine Learning)
170 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist - Content (Machine Learning): Developing and implementing machine learning strategies for lead scoring, churn modeling, pricing, personalization, and fraud detection with an accent on end-to-end data science, feature engineering, and model monitoring. Focus on enhancing data infrastructure, communicating findings to technical and non-technical stakeholders, and delivering measurable business impact.
Location: Remote - US
Base pay: $170,000–$200,000 USD annually, plus equity; an annual bonus may apply depending on the role.
Company
is an AI-native travel technology platform providing infrastructure for business travel, group travel, human agents, and AI agents.
What you will do
- Develop and implement data science strategies for lead scoring, churn modeling, pricing, personalization, and fraud detection.
- Collaborate with ering and business stakeholders to turn analysis into implemented solutions and measurable business impact.
- Own end-to-end data science initiatives, including data gathering, analysis, feature ering, model selection, training, inference, and monitoring.
- Improve data infrastructure and analytics capabilities in partnership with data infrastructure and analyst teams.
- Communicate findings clearly to technical and non-technical audiences.
Requirements
- 5+ years of industry experience as a Data Scientist or ML er in high-growth environments.
- Strong knowledge of machine learning algorithms and statistical modeling.
- Proficiency in Python, including scikit-learn, NumPy, and pandas, as well as SQL.
- MS or PhD in mathematics, statistics, operations research, economics, ering, computer science, or a related quantitative discipline.
- Ability to prioritize simple, effective machine learning solutions and communicate clearly with technical and non-technical stakeholders.
- Ability to work effectively in a fast-paced, dynamic environment and take initiative.
Nice to have
- Experience with Snowflake and Streamlit.
Culture & Benefits
- Hybrid-hub model with support for fully remote work or work from an office.
- Equity is provided to all employees.
- Some roles may include annual bonuses or commissions.
- Benefits and perks vary by employment type, location, and role.
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