Senior Data Scientist

Run Time; Union (NJ); Remote; USD 108,000 - 156,000; Full time

Job summary

A global business is seeking a Senior Data Scientist for a fully remote B2B contract. The candidate must have over 7 years of experience, particularly using Databricks for AI-focused data science projects. Responsibilities include designing data models and collaborating with stakeholders to drive business insights.

Qualifications

• + 7 years of experience working as a Data Scientist.
• Strong background in Generative AI and traditional AI techniques.
• Expert level in Python and using Databricks for data science work.

Responsibilities

• Collaborate with data experts to identify data-driven opportunities.
• Design and implement advanced data models and algorithms.
• Develop and deploy machine learning models for predictive analytics.

Skills

Data analysis

Generative AI

Traditional AI techniques

Statistical modeling

Python

Data visualization

Tools

Databricks

pandas

NumPy

scikit-learn

Qlik

Tableau

Power BI

Job description

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I build and scale great Engineering teams within the Ruby on Rails market and have worked with some of London's fastest growing businesses.

Senior Data Scientist - B2B contract (Remote)

Role: Senior Data Scientist

Contract: B2B

Location: Poland Fully remote

Duration: 1 year

A Global business are looking for a Data Scientist to join them on a 1 year B2B contract (fully remote).

The right candidate will have significant commercial experience using Databricks for data science work and possess a strong background in both Generative AI and traditional AI techniques.

As a Data Scientist, you will work closely with data experts in the business to analyze complex datasets, develop innovative data-driven solutions, and provide valuable insights to drive business growth.

Requirements:

• + 7 years of experience working as a Data Scientist, with a strong track record of delivering impactful data-driven solutions.

• Strong knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling.

• Expert level in Python and libraries (e.g., pandas, NumPy, scikit-learn).

• Proficiency in using Databricks for data science work

• Apply both Generative AI and traditional AI techniques to solve complex business problems and optimize processes

• Solid understanding of data visualization techniques and tools (e.g., Qlik, Tableau, Power BI) to effectively communicate complex findings to stakeholders.

Responsibilities:

• Collaborate with data experts and stakeholders to understand business objectives and identify opportunities for leveraging data to drive decision-making and business growth.

• Design and implement advanced data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets.

• Develop and deploy machine learning models using Databricks for predictive analytics, anomaly detection, and other data science applications.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting and Financial Services

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