Location
Bangalore | India
Job description
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business. Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
- Please Note: This role is specifically located in Bangalore. You'll need to be onsite or have the ability to move.**
Role Overview As a Data Scientist specializing in Machine Learning at Fractal Analytics, you will play a pivotal role in shaping and driving our AI strategies. Your primary focus will be developing and implementing Machine Learning and statistical models that transform and elevate our client's business operations.
Your Responsibilities Include - Collaborating with internal teams to understand complex business challenges and identify opportunities for AI-driven solutions.
- Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights.
- Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions.
- Proactively working with large datasets, ensuring the integrity and effectiveness of data used in Machine Learning models.
- Engaging with clients to translate business needs into technical requirements and Machine Learning solutions.
- Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning.
Qualifications - Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence.
- Proficiency in Machine Learning algorithms and concepts such as supervised and unsupervised learning, neural networks, deep learning, etc.
- Experience with data modeling and evaluation strategies.
- Strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc.
- Knowledge of data preprocessing, cleaning, and analysis techniques.
- Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
- At least 3-5 years of experience in a Machine Learning or data science role, with a proven track record of developing and deploying models that have driven business impact.
- Experience working with large and complex datasets.
- Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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