Digital Finance Data Scientist at Thermo Fisher Scientific

Carlsbad, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, FinanceIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Mathematics, Statistics, Econometrics, or related quantitative fields
Proven experience in quantitative finance and AI/ML model development
Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), SQL, and AI/ML lifecycle platforms
Strong understanding of data governance and data quality
Excellent interpersonal skills to present complex technical concepts to executive stakeholders

Responsibilities

Design and validate Machine Learning, Deep Learning, and Natural Language Processing (NLP) models for portfolio optimization, risk analytics, performance attribution, and capital allocation
Build scalable data pipelines using Python, SQL (MySQL), and R. Perform feature engineering, data normalization, and generate reports and financial data
Collaborate with engineering teams to deploy models using Kubeflow, AWS SageMaker, or Azure ML. Ensure robust model governance, version control, and production readiness
Conduct factor analysis, scenario modeling, and backtesting to evaluate model performance
Partner with Data Science, Investment Research, and Portfolio Strategy teams to align AI solutions with client mandates, investment policy statements, and risk-adjusted return objectives

Skills

Python

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

MySQL

PowerBI

Azure Databricks

Microsoft Fabric

Kubeflow

AWS SageMaker

Azure ML

Thermo Fisher Scientific

Provides life sciences products and services

About Thermo Fisher Scientific

Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.

Waltham, MassachusettsHeadquarters

1956Year Founded

$17MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Increased competition in single-use bioprocessing may impact market share.

Sale of anatomical pathology business could create a temporary product gap.

Investment in miDiagnostics may face regulatory challenges affecting returns.

Differentiation

Thermo Fisher offers a comprehensive range of life sciences products and services.

Their well-known brands include Thermo Scientific, Applied Biosystems, and Invitrogen.

They provide strong customer support and educational resources to optimize client workflows.

Upsides

Expansion of biologics production facility enhances capacity for precision biologics monitoring.

Investment in miDiagnostics aligns with demand for rapid diagnostic solutions in BioPharma.

Collaboration with Mainz Biomed positions them in the growing cancer detection market.

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