Data Scientist at Fractal

Short Description:

Fractal Analytics is seeking a passionate Data Scientist specializing in Machine Learning to join their team in Bengaluru. The role involves collaborating with internal teams to address complex business challenges, designing and deploying cutting-edge Machine Learning algorithms, and staying abreast of the latest advancements in AI. The ideal candidate holds a Bachelor’s or Master’s degree in a relevant field, possesses strong programming skills in Python, and has 3-5 years of experience in developing impactful models. Familiarity with big data technologies and cloud computing services is advantageous. If you thrive in a dynamic environment and enjoy working with high-achievers, this role offers an exciting opportunity for career growth.

Position: Data Scientist

Locations: Bengaluru

Time Type: Full time

Job Requisition ID: SR-21496

Discover the excitement of contributing to a company where individuals are genuinely passionate about their work!

Our dedication revolves around instilling passion and customer-centricity into our business.

Fractal Analytics stands as a strategic AI collaborator for Fortune 500 companies, aspiring to empower every human decision within the enterprise. Our vision is to establish a world where individual choices, freedom, and diversity stand as paramount assets. Within this ecosystem, human imagination takes center stage in every decision-making process, challenging the status quo and inspiring improvement. We firmly believe that true Fractalites empower imagination with intelligence, ensuring that these individuals will be the driving force behind the company's growth for the next century.

For more details about Fractal, please visit Fractal | Intelligence for Imagination.

Note: This position is specifically based in Bangalore, requiring onsite presence or the flexibility to relocate.

Role Overview

As a Data Scientist specializing in Machine Learning at Fractal Analytics, you will play a key role in shaping and implementing our AI strategies. Your primary focus involves developing and implementing Machine Learning and statistical models to revolutionize our client's business operations.

Your key responsibilities include:

Collaborating with internal teams to comprehend intricate business challenges and identify opportunities for AI-driven solutions.
Designing, developing, assessing, and deploying Machine Learning algorithms that translate data into actionable insights.
Staying updated on the latest advancements in machine learning and AI, incorporating cutting-edge techniques into our solutions.
Proactively working with extensive datasets to ensure the integrity and effectiveness of data used in Machine Learning models.
Interacting with clients to translate business requirements into technical specifications and Machine Learning solutions.
Leading initiatives to enhance our data analytics capabilities, with a particular emphasis 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 focus on Machine Learning or Artificial Intelligence.
Proficiency in Machine Learning algorithms and concepts, encompassing supervised and unsupervised learning, neural networks, deep learning, etc.
Experience in data modeling and evaluation strategies.
Strong programming skills in Python, particularly with libraries used in data science such as TensorFlow, PyTorch, Keras, Scikit-learn, etc.
Knowledge of data preprocessing, cleaning, and analysis techniques.
Familiarity with big data technologies like Hadoop, Spark, or similar platforms.
3-5 years of experience in a Machine Learning or data science role, demonstrating a proven track record of developing and deploying models that drive business impact.
Experience working with large and complex datasets.
Previous exposure to cloud computing services such as AWS, Azure, or Google Cloud Platform is advantageous.

If you thrive in an environment of exponential growth and enjoy collaborating with motivated, enthusiastic high-achievers, you'll find your professional journey fulfilling with us!

If this position isn't the perfect fit for you, express your interest in future opportunities by clicking "Introduce Yourself" in the top-right corner of the page or create an account to receive email alerts for new job postings that align with your interests!

Please click here to apply.

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