Lead Data Scientist — Build & Scale Data from Ground Up (Remote)

RightClick

New York, US

RemoteCareer-pivot friendly

Why this role

Pace

Steady

The role demands a fast-paced environment, as the Senior Data Scientist is expected to manage the entire data science lifecycle, indicating a high volume of tasks and quick turnaround times.

Collaboration

Medium

While the job emphasizes independent work, the requirement to build scalable machine-learning models and data pipelines suggests a need for collaboration with other technical teams to ensure successful implementation and integration.

Autonomy

High

Given the fully remote nature of the role and the need to work independently, the Senior Data Scientist must have a high degree of autonomy, making critical decisions and driving projects forward without direct supervision.

Decision Impact

Company

The responsibility to lay the groundwork for future data science practices indicates that decisions made in this role will have a significant long-term impact on the company’s data science capabilities.

Role Level

Strategic

The complexity of the role is evident in the requirement to design scalable machine-learning models and build data pipelines, tasks that demand a high level of technical expertise and strategic thinking.

Career Pivot Friendly

Welcomes transferable skills

Professionals with a background in consulting, where they have honed skills in strategic thinking and project management, can easily transition into this role, leveraging their experience to establish robust data science practices.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Establish data science function
Design scalable machine-learning models

Typical background

7–10 years of experience in data science

Transferable backgrounds

Coming from Consultant at a tech firm
Strategic thinking · Project management
The ability to think strategically and manage projects effectively are key competencies that can be directly applied to laying the groundwork for future data science practices.
Coming from Senior Data Analyst at a financial institution
Data pipeline construction · Machine learning
Experience in building and managing complex data pipelines and applying machine learning techniques in a financial context can be directly transferred to this role.

Skills & requirements

Required

7–10 Years Of Experience In Data SciencePythonSQLAWSAbility To Work Independently

Preferred

Experience In Building Data Pipelines

Stack & domain

PythonSQLAWSMachine-learning ModelsData Pipelines

About the role

This role involves leading the development and scaling of data science initiatives from scratch, requiring a strategic thinker with extensive experience in machine learning and data pipeline construction. The ideal candidate thrives in a remote setting, excelling at independent work while contributing to the foundational development of data science practices within a growing company.

Original posting from RightClick

A data solutions company is seeking a hands-on Senior Data Scientist to establish their data science function. This fully remote role requires 7–10 years of experience in data science, strong skills in Python, SQL, and AWS, and the ability to work independently. Responsibilities include managing the data science lifecycle, designing scalable machine-learning models, and building data pipelines. The ideal candidate is a strategic thinker who can lay the groundwork for future data science practices.
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Source: RightClick careers