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DATA
SCIENTIST

Our client is a fast-growing software-as-a-service (SaaS) company in the eCommerce industry. They are seeking a talented and passionate Data Scientist to join our team and drive the development of data-driven solutions that will shape the future of the industry.

LOCATION

US - Remote

COMPANY TYPE

SAAS Startup

SALARY RANGE

$120,000 - $150,000

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What You’ll Do

  • Data Analysis: Analyze large datasets to identify trends, patterns, and correlations that can be used to improve our products and services.

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  • Machine Learning: Develop and implement machine learning models for predictive analytics, recommendation systems, and other data-driven applications.

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  • Data Visualization: Create compelling data visualizations and dashboards to communicate insights effectively to both technical and non-technical stakeholders.

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  • Feature Engineering: Identify and engineer relevant features from raw data to improve model performance.

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  • Model Evaluation: Evaluate the performance of machine learning models and iterate on them to achieve better results.

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  • Data Cleaning: Prepare and clean data for analysis, ensuring data quality and consistency.

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  • Collaboration: Collaborate with cross-functional teams, including product managers, engineers, and designers, to integrate data-driven insights into our products and services.

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  • Research: Stay up-to-date with the latest developments in data science and machine learning and apply innovative approaches to solve complex problems.

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Who You are

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred).

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  • Proven experience in data analysis and machine learning, preferably in a SaaS or startup environment.

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  • Proficiency in programming languages such as Python or R.

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  • Strong knowledge of machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

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  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).

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  • Strong problem-solving skills and the ability to work independently.

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  • Excellent communication skills and the ability to convey complex findings to non-technical stakeholders.

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  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is a plus.

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