Data Scientist

Overview

About Xane

Xane AI is building the next generation of AI models for niche use cases, in areas where conventional machine learning models are not available.

We specialize in developing high-impact AI solutions that solve real-world problems by combining deep learning, machine learning, and advanced data analytics. As a growing startup, we are looking for a versatile and innovative Data Scientist who thrives in a dynamic, fast-paced environment.

Role

As a Data Scientist at Xane, you will play a key role in transforming complex data into actionable insights, driving decision-making, and improving our AI models. You will work closely with our engineering and product teams to collect, clean, and analyze large datasets, develop predictive models, and help optimize our AI solutions for niche markets. If you’re passionate about data, AI, and solving unique challenges, we want to hear from you!

Key Responsibilities

Data Collection & Analysis: Gather, clean, and preprocess large datasets from multiple sources. Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies that inform our AI model development.

Model Development & Optimization: Develop and implement machine learning models to solve real-world problems, with a focus on niche use cases. Continuously refine and optimize models to improve accuracy and performance.

Data Visualization & Reporting: Create clear and compelling visualizations to communicate findings and insights to non-technical stakeholders. Develop dashboards and automated reporting tools to track model performance and key metrics.

Collaboration: Work cross-functionally with product managers, engineers, and domain experts to define project requirements and translate them into actionable data insights and AI solutions.

Statistical Analysis & Research: Use advanced statistical techniques to draw inferences from data and inform model design. Stay up-to-date on the latest developments in AI and data science to continuously improve our solutions.

Problem-Solving: Tackle unique, high-impact challenges within specific industries, using data-driven approaches to guide strategic decisions and enhance AI model capabilities.

Key Requirements

• Functional knowledge of data analysis and machine learning (preferably within AI, tech, or SaaS industries).
• Proficiency in Python (with libraries like pandas, NumPy, scikit-learn, TensorFlow, PyTorch), or similar tools.
• Strong knowledge of machine learning algorithms, statistical methods, and data modeling techniques.
• Experience with data wrangling, feature engineering, and building end-to-end data pipelines.
• Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Familiarity with SQL, NoSQL databases.
• Strong analytical and problem-solving skills with the ability to work with large and complex datasets.
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

Nice-to-Haves

• Experience in working with enterprise AI applications or SaaS solutions.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for data storage and processing.
• Knowledge of niche industries such as automobile and manufacturing is a plus.
• Familiarity with Agile methodologies and startup culture.

What We Offer

• Opportunity to work on cutting-edge AI projects with a dynamic and collaborative team.
• Room for growth and professional development in an expanding company.
• A culture of innovation, learning, and autonomy.
• Intangible benefits from Xane's experienced leadership team, industry exposure and long term mentorship.