Lead Data Scientist at Quartic.ai

Short Description:

We are a pioneering SaaS industrial-AI startup driving Industry 4.0 adoption, offering a Smart Industry platform for manufacturing transformation. Seeking a seasoned AI/Data Science professional with 5-9 years of experience, including 1+ years in team leadership. Responsibilities include developing statistical models, optimizing algorithms for predictive analytics, and collaborating on data-driven solutions. Qualifications encompass proficiency in Python, statistical analysis, and machine learning frameworks. Our package includes unlimited leaves, cutting-edge technology exposure, competitive compensation, flexible work hours, and permanent work-from-home options.

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Position: Lead Data Scientist

Company: Quartic.ai

Location: India

Job mode / Type: Remote / Full-time 

 

Job Description:

About Us:

We are a pioneering SaaS industrial-AI startup dedicated to advancing the adoption of Industry 4.0. Our focus is on enabling manufacturers to unlock greater value from their existing infrastructure, paving the way for the creation of Smart Manufacturing Factories. This is achieved through our innovative Smart Industry platform, empowering subject matter experts (SMEs) to address key challenges in process manufacturing industries during the digital transformation journey. Using the Quartic Platform, SMEs can effortlessly develop and deploy AI and IIoT applications, elevating productivity and operational performance without the necessity for expertise in programming or data science. The Quartic Platform is trusted by Fortune 100 and 500 companies across pharmaceutical, food & beverage, CPG, and other sectors for applications such as process optimization, predictive maintenance, and energy optimization.

Responsibilities:

1. Develop and implement statistical models and machine learning algorithms for the analysis of industrial datasets, offering insights specific to pharmaceutical manufacturing challenges.
2. Design and optimize algorithms focusing on predictive analytics, anomaly detection, and process optimization to enhance product quality and manufacturing efficiency.
3. Collaborate with cross-functional teams to comprehend business challenges and transform them into data-driven solutions.
4. Conduct exploratory data analysis and hypothesis testing to guide model development and problem-solving strategies.
5. Create and maintain robust data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
6. Develop and refine data visualization tools to effectively communicate complex results to both technical and non-technical stakeholders.
7. Contribute to projects related to model interpretability, ensuring transparency and trust in AI solutions.
8. Stay informed about the latest advancements in machine learning, particularly those applicable to small datasets and chemical analytics.

Qualifications:

• 5-9 years of experience in AI and data science.
• Minimum 1+ years in team leadership roles.
• Proven track record in managing AI/ML product development.
• Proficiency in statistical analysis techniques, including a deep understanding of mathematical principles behind techniques like hypothesis testing and logistic regression.
• Experience in applying Bayesian optimization and utilizing decision trees is essential.
• Master’s degree or higher in Statistics, Data Science, Computer Science, Applied Mathematics, or a related field.
• Proficiency in Python and machine learning frameworks (scikit-learn, PyTorch).
• Demonstrable experience in optimization techniques and their real-world application.
• Strong knowledge of data visualization tools and techniques.
• Familiarity with model interpretability frameworks and methods.
• Exceptional problem-solving skills and the ability to work independently on complex tasks.

What We Offer:

• Unlimited Leaves: We prioritize work-life balance by offering unlimited leaves to our employees.
• Cutting-Edge Technology: Be part of the future by working on technology at the forefront of the fourth industrial revolution.
• Competitive Compensation: We recognize and reward hard work and dedication through competitive compensation packages.
• Flexible Work Hours: Enjoy the freedom of flexible work hours tailored to your rhythm.
• Permanent Work From Home: Say goodbye to the daily commute with our permanent work-from-home options, allowing you to work in the comfort of your own space.

Please click here to apply.

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