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Are you passionate about AI, Machine Learning, and transforming business with data? At Fractal Analytics, we're empowering companies to make smarter, faster decisions through the power of AI and analytics. We're not just solving problems; we’re shaping the future of business decisions and paving the way for what’s next in artificial intelligence.
We believe that data is more than just numbers; it's the fuel that powers imagination. Our mission is to build intelligence for imagination, and we need a dynamic, innovative Data Scientist to help us do it.
Why Fractal?
Fractal is a strategic AI partner for Fortune 500 companies, and we’re on a mission to transform business operations with cutting-edge AI solutions. Our work is driven by a passion for solving real-world problems and a commitment to creating a diverse and empowering environment where imagination meets intelligence.
At Fractal, every decision counts, and we believe in challenging the status quo to push the boundaries of what’s possible.
If you’re ready to take your career to the next level and join a team that believes in limitless possibilities, read on.
What You’ll Be Doing:
As a Data Scientist specializing in Machine Learning, you’ll be a key driver in helping Fractal and our clients unlock business potential through AI solutions. Your work will focus on developing and implementing Machine Learning models that transform data into actionable insights, elevating the business decisions of Fortune 500 clients.
- Collaborate & Innovate: Work closely with internal teams to understand business challenges and develop AI-driven solutions tailored to specific client needs.
- Design & Deploy Machine Learning Models: Utilize advanced machine learning algorithms and models such as neural networks, deep learning, anomaly detection, and more to solve business problems.
- Data Exploration: Engage with large, complex datasets to ensure data integrity, preprocessing, and effective analysis.
- Research: Stay ahead of the curve by researching the latest advancements in AI, machine learning, and predictive analytics.
- Client Engagement: Work directly with clients to translate their business needs into technical solutions and deliver actionable insights through AI.
What We’re Looking For:
We are looking for an innovative problem solver with a strong background in Machine Learning and a passion for transforming data into business value.
Qualifications:
- Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or a related field with a focus on Machine Learning or AI.
- 3-5 years of experience in a Machine Learning or Data Science role.
- Proficiency with Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, etc.
- Experience with Machine Learning algorithms like linear regression, time series forecasting, deep learning, and probabilistic models.
- Familiarity with big data technologies (Hadoop, Spark, etc.) and cloud computing platforms (AWS, Azure, GCP).
- Experience working with large datasets and turning them into insights that drive business value.
Preferred Skills:
- Strong ability to work with predictive and prescriptive analytics.
- Experience in deploying and monitoring models in production environments.
Why Fractal?
- Impact: Be at the forefront of transforming industries with AI. Your work will directly impact some of the biggest companies in the world.
- Career Growth: At Fractal, we are committed to your professional growth with ongoing training, development, and exposure to groundbreaking AI technologies.
- Flexibility: We offer a "free time" PTO policy, 12 weeks of Parental Leave, and 11 paid holidays to ensure you have the time to recharge and focus on what matters most.
- Diversity & Inclusion: We value diversity in our workforce, believing that different perspectives are key to driving innovation.
- Competitive Pay: A competitive salary range of $115,000 - $185,000, along with a discretionary bonus, comprehensive benefits, and a 401(k) plan.
- Exciting Work Environment: Work alongside enthusiastic, over-achieving teams that make things happen every day.