Data Scientist

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February 8

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Impact

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HR Tech • B2B • Enterprise

Impact is a provider of tailored staffing and technology solutions aimed at meeting the unique needs of businesses. With a strong emphasis on talent solutions, project management, and business process optimization, Impact helps organizations scale effectively and implement complex systems. Their services ensure precise execution and measurable results, driving innovation and transformation across various sectors.

2 - 10 employees

👥 HR Tech

🤝 B2B

🏢 Enterprise

📋 Description

• This is a remote position. • We are seeking an experienced Data Scientist with 3+ years of expertise in data analytics, machine learning, and statistical modeling, with a focus on data integration projects. • This contract position will support our client’s business objectives by collecting, analyzing, and integrating data to drive strategic decision-making. • The ideal candidate will have a strong background in data science methodologies, data engineering, and automation to improve business processes and insights. • Key Responsibilities include data collection & integration, data processing & transformation, data analysis & machine learning, business insights & reporting, and technical leadership & innovation.

🎯 Requirements

• 3+ years of experience in data science, machine learning, or a related field, with a focus on data integration projects. • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (minimum requirement). • Strong proficiency in Python, R, or similar programming languages. • Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks. • Expertise in SQL and working with large-scale relational databases. • Experience with big data technologies like Hadoop, Spark, or Snowflake is a plus. • Hands-on experience with AWS, Azure, or GCP for machine learning deployments. • Proficiency in Tableau, Power BI, Matplotlib, or Seaborn. • Experience building data pipelines, ETL workflows, and automation tools. • Strong analytical and problem-solving skills to address complex business challenges. • Ability to explain complex data insights to non-technical stakeholders. • Experience mentoring junior data scientists and working in a cross-functional team environment.