Data Scientist III, Behavioral Marketing Analytics & Customer Insights

Thermo Fisher

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Carlsbad, CAPleasanton, CA
Salary
$95,900–$127,800 / yr
Posted
58 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k
This role $112k
$82k most similar roles pay here $226k

This role pays less than 92% of similar roles. Most pay $126,800–$198,237 — the shaded band above. At the midpoint, this role pays about $112k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Thermo Fisher

Thermo Fisher Scientific is the world leader in serving science, providing analytical instruments, equipment, reagents, consumables, software, and services for life sciences research, pharmaceutical manufacturing, and diagnostics. Industry: Life Sciences & Laboratory Equipment

Thermo Fisher currently has 9 open roles on FindRole.

Listed pay typically runs $93,800–$127,800 across 7 roles with salary data.

Most-posted roles

View all roles at Thermo Fisher

At a glance

TL;DR · Data Scientist III, Behavioral Marketing Analytics & Customer Insights

As a Data Scientist III, Behavioral Marketing Analytics & Customer Insights, you will join the team to apply advanced analytics, machine learning, and AI techniques to solve complex business challenges across the enterprise. You will develop and deploy sophisticated data science solutions designed to drive operational efficiencies and enhance decision-making capabilities. Your daily work involves building ETL processes, developing data pipelines, and creating dashboards using Power BI or Tableau. The role requires advanced proficiency in Python, R, and SQL, alongside expertise in machine learning frameworks like scikit-learn, TensorFlow, and PyTorch. You will also utilize cloud platforms such as AWS and Azure, along with big data technologies like Spark and Databricks. Technical skills include statistical analysis, experimental design, hypothesis testing, and natural language processing to address problems within the life sciences, healthcare, or clinical research domains.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Apply advanced analytics, machine learning, and AI techniques to solve complex business challenges.
  • Develop and deploy sophisticated data science solutions to drive operational efficiencies.
  • Translate complex business problems into actionable analytical solutions.
  • Perform statistical analysis, experimental design, and hypothesis testing.
  • Build and manage ETL processes and data pipeline development.
  • Create data visualizations and dashboards using tools like Power BI or Tableau.
  • Present technical concepts and findings to non-technical stakeholders.

What we're looking for

  • An advanced degree and 3 years of experience, or a Bachelor's degree and 5 years of experience in data science and machine learning.
  • A degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field is preferred.
  • Advanced proficiency in Python, R, and SQL for data analysis and modeling.
  • Expertise in machine learning frameworks including scikit-learn, TensorFlow, and PyTorch.
  • Strong knowledge of cloud platforms like AWS or Azure and big data technologies such as Spark and Databricks.
  • Experience with data visualization tools like Power BI or Tableau and dashboard development.
  • Proficiency in statistical analysis, experimental design, hypothesis testing, and ETL processes.
  • Knowledge of DevOps practices, version control systems (Git), and experience with NLP and deep learning.

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