CommerceIQ is Hiring Data Scientist (3-5 yrs)
At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.
Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.
What You’ll Be Doing
As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.
- Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles
- Work on data science roadmap and build the core engine of our flagship CommerceIQ product
- Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept
- Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems
- Work with large scale ecommerce data of the biggest brands on amazon
- Apply out-of-the-box, advanced algorithms to complex problems in real-time systems
- Drive productization of techniques to be made available to a wide range of customers
- You would be working with and mentoring fellow team members on the owned charter
What we are looking for -
- Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers
- Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage
- Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required
- Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage
- Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects
- Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact
- We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
- Data scientist, Machine Learning, data science, data analyst
Job Type: Full-time
Experience:
- Data Scientist: 3 years (Required)
Application Question:
- Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)

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● Structure concise reports with insights supported by solid analytics and logical thinking.
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Requirements:
● Strong 3-5 year experience in analytics.
● Experience in working on analytics for a mobile App.
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Required Skills
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Desired Skills
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What we offer you:
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- Full medical, accident as well as life insurance benefits
- Catered breakfast, lunch and evening snacks
- Child care facilities for women employees and discounted facilities for male employees
- Well stocked pantry
- Generous Paid Maternity/Paternity leave
- Employee Assistance Programs
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- Casual dress every single day
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Oversee the sales process to attract new clients.
Work with senior team members to identify and manage risks.
Maintain fruitful relationships with clients and address their needs effectively.
Prepare and deliver pitches to potential investors.
Foster a collaborative environment within the organization.
Transfer call to the supervisor after initial explanation.
SKILLS:
Excellent spoken English.
Both Graduate/Undergraduate may apply.
Ability to develop good relationships with current and potential clients.
Excellent communication skills.
Knowledge of productivity tools and software.
Ready to work in Nightshift.
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If you are keen on a boring 9-5 and predictable day-to-day role then please don’t apply. However, if you love the fast-paced nature of a FAST GROWING and FUN gaming tech start-up with amazing benefits such as work from anywhere including the beach then please APPLY as we would love to hear from you!
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Bonus Points:
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If being passionate and energetic about an early stage disruptive product sounds like something you’d like to fit into your LinkedIn bio, we're looking for you.
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