Lead Data Scientist HybridOnsite
Lead Data Scientist HybridOnsite
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Job Description
We are seeking a Lead Data Scientist to lead our data science and engineering initiatives.
In this strategic leadership role you will be responsible for developing and executing a data strategy that unlocks the power of our data assets and drives innovation through the implementation of data engineering and GenAI solutions.
This role will be accountable for delivering modern largescale complex services and products for the Global Client Services business. You are a trusted technology advisor and thought leader working with architects DEV leads test engineering leads TPMs product managers security architects and other partners across the organization in ensuring that what we build is secure scalable performant and reliable.
Essential Functions:
- Define and implement a data strategy that aligns with business objectives and maximizes the value derived from data assets.
- Lead the design and architecture of a robust and scalable data engineering platforms infrastructure including data pipelines data warehouses and data lakes (onprem and cloudbased).
- Oversee the entire data lifecycle from data acquisition and ingestion to transformation storage and analysis.
- Champion the adoption of GenAI technologies and develop strategies to integrate them into existing workflows or build new.
- Build and manage a highperforming data engineering team fostering a culture of innovation and continuous learning.
- Partner with business stakeholders to understand their needs and translate them into actionable datadriven solutions.
- Ensure data governance and compliance with all relevant regulations and develop and implement data governance policies and procedures to ensure data security privacy and compliance.
- Stay uptodate on emerging data and AI trends and technologies.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications
10 or more years of work experience with a Bachelors Degree or at least 8
years of work experience with an Advanced Degree (e.g.
Masters/MBA/JD/MD) or at least 3 years of work experience with a PhD
Preferred Qualifications
12 or more years of work experience with a Bachelors Degree or 810 years of
experience with an Advanced Degree (e.g. Masters MBA JD MD) or 6 years
of work experience with a PhD
Bachelors or masters in computer science Operations Research Statistics or
highly quantitative field (or equivalent experience) with strength in Deep
Learning Machine Learning Data Mining Statistical or other mathematical
analysis
1215 years of handson experience and a proven track record of building and deploying complex data pipelines and architectures using various
technologies.
Expertise in onprem and cloudbased data platforms (AWS Azure) and related
data storage and processing tools (e.g. Spark Hadoop).
Experience with data warehousing data lakes and business intelligence and
ETL tools.
Strong proficiency in programming languages like Python and SQL.
Relevant exposure to modeling techniques such as logistic regression Nave
Bayes SVM decision trees or neural networks
Expert in leadingedge areas such as Machine Learning Deep Learning Stream
Computing and MLOps
Experience with Python SQL PySpark and Hive on data and analytics solutions
Excellent understanding of algorithms and data structures
Expertise with GenAI technologies (e.g. Large Language Models NLP) and
vector databases. Experience with tuning opensource Large Language
Models (LLMs)
Excellent communication skills with the ability to present complex ideas clearly and concisely.
Experience in setting and tracking technical goals operational SLA/OLAs and
KPIs.
Excellent leadership and team building skills.
Ability to think strategically and translate data insights into actionable
business plans.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 510 of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $175100 to $253950 to per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
