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Data Scientist

Remote: 
Full Remote
Experience: 
Junior (1-2 years)
Work from: 
India

Offer summary

Qualifications:

Bachelor's/Master's degree in Computer Science or related field, 1-2 years of experience in data science, Experience with AI/ML, GenAI, LLM models, Proficient in Python and cloud services.

Key responsabilities:

  • Develop custom data models and algorithms
  • Implement advanced machine learning models
  • Communicate findings to PMs and executives
Birdeye Australia logo
Birdeye Australia https://www.getbirdeye.com.au
51 - 200 Employees
About Birdeye Australia
Australia’s leading all-in-one customer experience and reputation management platform - trusted by thousands of local businesses. Easily attract local leads, generate 5-star reviews, and automate repetitive tasks and messages.Trusted by 150,000+ businesses who use the software everyday to attract new leads with Listings, Reviews and Referrals, convert them into customers with Webchat, Appointments and Payments, and delight those customers with Surveys, Ticketing, and Insights - all in one place.We help our customers achieve amazing results through the perfect combination of locally based digital marketing experts and cutting-edge software working together.Whether 1 or 1000 locations we make it easier for local businesses to generate localised leads, gain reviews, automate repetitive tasks, manage their online footprint, gain insights, and easily measure their ROI from local marketing.
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Job description

Description

Why Birdeye?

Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye’s AI-powered platform to effortlessly manage online reputation, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive.

At Birdeye, innovation isn't just a goal – it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2.

Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who’s who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR.

Role Description: This is a full-time remote role for a Data Scientist at Bideye.

Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP)

Roles & Responsibilities

  • Develop custom data models and algorithms to apply to data sets.
  • Developing and implementing advanced machine learning models to address complex problems.
  • Clearly communicate findings and recommendations, data-driven insights to PMs and executives.

Requirements

  • Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 1-2 years' experience.
  • Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models.
  • Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc.
  • Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc.
  • Experience in Docker for deploying the containers.
  • Experience in NoSQL/SQL databases.
  • Good programming skills in Python.
  • Domain knowledge in Online Reputation management or experience in a product-based company (added advantage).
  • Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

Why You’ll Join Us

At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals – we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication.

Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference – we make it happen.

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Experience

Level of experience: Junior (1-2 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.
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