Data Scientist

AXONS LLC

United States

about 2 months ago

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Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Languages

English

Job source

arc.dev

Tech stack

Artificial Intelligence Data Analysis Computer Vision Big Data Data Cleansing Data Visualization Python (Programming Language) Machine Learning Natural Language Processing SQL Databases Performance Testing Deep Learning

+4 more

Information Technology Data Analytics Software Coding Programming Languages

Job description

Collaborate with the Business Intelligence team to identify and integrate valuable data sources while automating data collection and preprocessing workflows.
Perform in-depth exploratory data analysis (EDA) and statistical evaluations on large datasets to uncover trends, patterns, and actionable insights that support data-driven decision-making.
Design and implement predictive models to address key business challenges in business empowering stakeholders with accurate forecasts and actionable recommendations.
Develop and apply advanced machine learning and deep learning models, including solutions leveraging ML, Computer Vision (CV), Natural Language Processing (NLP) and Constraint optimization (CP).
Work closely with stakeholders to propose innovative, data-driven approaches for improving operational processes and addressing complex business questions.
Conduct research on emerging data science techniques and advancements in business analytics to refine and improve methodologies.
Collaborate with machine learning engineers and product teams to deploy and refine AI-driven solutions.
Create impactful data visualizations in collaboration with the Business Intelligence team to effectively communicate findings and insights.

Requirements

At least 2 years of professional experience in data science or related fields.
Holding a bachelor’s, master’s, or Ph.D. in Computer Science, Engineering, Data Science, Mathematics, or equivalent experience through industry roles, self-learning, or data science boot camps.
Strong understanding and hands-on experience in the end-to-end data science process, including data cleaning, model development (machine learning or deep learning), validation, and performance testing.
Strong analytical, problem solving, communication and interpersonal skills
Good command in English
Strong coding skills and familiarity with relevant programming languages and tools (Python, SQL).
Adaptable and eager to learn new tools or technologies as needed.
Experience in following industries is a plus: animal farming and aquaculture, food manufacturing, fresh food supply chain and logistics, fresh food sales and distribution