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Delivering data science, data engineering, & AI solutions.

Senior Data Scientist

$120k – $150k • No equity
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Description:

SFL Scientific is expanding our data science consulting team and we are seeking senior and lead data scientists to design and build end to end approaches and ML/AI solutions across healthcare, life sciences, manufacturing, medical devices, and other industries.

As a Senior Data Scientist, you will be work directly with our clients to design and develop solutions for a wide range of data science and data engineering projects. Our ideal candidate is an accomplished expert with deep technical ability and implementation skills that is able to find the correct mix of business objective, value, cost, technical feasibility to solve complex problems.

The successful candidate will have demonstrated ability to manage projects, provide thought leadership, and act as an autonomous member of the SFL Scientific team. The role of the Senior Data Scientist will include the entire workflow of a data science project: From ensuring data quality throughout all stages of acquisition and processing to the cleaning, visualizing, analyzing, predicting with the data, and creation of a final product or pipeline.

This is a full-time position in Boston, MA. Flexible work schedule and minimal (less than 5%) travel to clients on-site.


Job Role & Strengths:

Strong primary expertise as data engineer or data scientist, with the ability to stretch beyond one’s core field of expertise. Successful candidates share the following requirements:

Track record of diving into data to discover hidden patterns and conducting error/deviation analysis

High-level knowledge of various machine learning techniques and key parameters that affect their performance

Ability to develop experimental and analytic plans for data modeling processes

Strong client management skills – ability to lead and persuade, positive energy, focus on business impact and implementation supported by data quality & EDA


Core Requirements:

Master’s degree in a relevant field

5+ years experience with various data analysis and visualization tools

Proficient in traditional ML and deep learning techniques

Proficient in core programming languages, such as: Python, R, C/C++, Scala and aux sets/tools - Keras, Tensorflow, PyTorch, Docker, Kubernetes, etc.

Proficient with SQL and NoSQL

Proficient with Tableau, R-Shiny, or other data visualization tools


Preferred Qualifications:

Proficient with AWS or Azure cloud computing environments

Proficient with a distributed computing platform (Hadoop, Spark, etc.)

Experience querying and administering big data storage services (Redshift, Teradata, Aurora, DynamoDB, etc.)

Experience with general software release cycle, productionizing ML or predictive analytics models at scale.


Benefits:
Base salary, performance bonus/compensation, medical coverage, 401k plan, paid time off (vacation, personal/sick, parental, etc.), flexible work-schedule, on-going industry training, and other company-wide perks.

Medical, Dental, & Vision

401k

Parental Leave

Unlimited Vacation Policy

Certifications & Conferences

+1 more

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