Lead Data Scientist

15 Hours ago • 7 Years + • Data Analysis

Job Summary

Job Description

MiQ is seeking a Lead Data Scientist to join their data science department. The role involves driving the building of end-to-end AI/ML based Ad-Tech solutions with a high-performing team, owning projects and processes to ensure high-quality delivery, and collaborating with wider capabilities for collective success. The Lead Data Scientist will also drive innovation by continuously upskilling, researching, applying, and inculcating innovative practices within the team. Key stakeholders include Account Managers, Traders, Sales, Analysts, Product Management, Engineering Teams, and Program Management. The role requires a strong understanding of machine learning, data mining algorithms, and big data tools, with a passion for making an impact on business using data science and a belief in continuous learning and knowledge sharing.
Must have:
  • 7+ years of experience in data science
  • Machine learning and data mining algorithms
  • Big data tools (Spark, Hive, Pig, MapReduce)
  • Advanced SQL
  • Experience delivering at least one product
  • Programming language (Java, Python, or R)
  • Cloud infrastructure experience
  • Agile framework experience
  • Passion for data science impact
Good to have:
  • Experience leading a data science team
  • Exposure to multiple programming languages
Perks:
  • Hybrid work environment
  • New hire orientation and training
  • Internal and global mobility opportunities
  • Competitive healthcare benefits
  • Bonus and performance incentives
  • Generous annual PTO
  • Paid parental leave
  • Employee resource groups

Job Details

Role: Lead Data Scientist

Location: Bengaluru 

What you’ll do 

We’re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we’re all united in the vision to lead the programmatic industry and make it better. 

As a Lead Data Scientist in our data science department, you’ll have the chance to:

  • Drive building of end-to-end AI/ML based Ad-Tech solutions with a high performing team
  • Own projects and processes and make sure you deliver with high quality
  • Collaborate with wider capabilities and functions for a collective success
  • Drive innovation in the Data Science team by continuously upskill, research, apply, and then inculcate innovative practices within the team

Who are your stakeholders? 

The Team Lead’s internal customers / stakeholders include:

  • Account Managers / Traders / Sales / Analysts: They drive building solutions that are used primarily by these internal customers through MiQ proprietary platforms like Lab and Hub. The Team Lead usually does not directly collaborate with these customers, and the market requirements and solution feedback is through Product Management team
  • Product Management: The Team Lead drives development of solutions in his team, prioritised as part of the Product roadmap.
  • Engineering Teams: Work collaboratively with the engineering teams to
  • Program Management: They work with program managers to make sure the right project delivery processes are set and followed

What you’ll bring  

  • 7+ years of experience in solving data science problems using machine learning, data mining algorithms and big data tools.
  • Strong experience with advanced SQL and good experience in big data ecosystem - Spark, Hive / Pig / MapReduce
  • Experience of delivering at least one product with involvement in business problem identification, proposing solutions and evaluating them, identifying required data sources, building data pipelines, visualising the outputs and taking actions based on the data outputs.
  • Strong Experience with at-least one programming language - e.g. Java, Python, R (Exposure to multiple is a plus)
  • Storing Experience in delivering data science projects leveraging cloud infrastructure.
  • Experience with Agile framework.
  • Experience of leading a data science team is a plus.
  • Highly passionate about making an impact on business using data science.
  • Believes in continuous learning and sharing knowledge with peers.

We’ve highlighted some key skills, experience and requirements for this role. But please don’t worry if you don’t meet every single one. Our talent team strives to find the best people. They might see something in your background that’s a fit for this role or another opportunity at MiQ.  

If you have a passion for the role, please still apply.  

What impact will you create?

  • You would drive the development of end-to-end data-driven / AI / ML / Statistics based Ad-Tech solutions that positions MiQ as the leading programmatic partner for advertisers across the lifecycle of a marketing campaign, which consequently contributes to MiQ’s Revenue and Gross Profit.
  • You will own your team’s quarterly and yearly deliverables, making sure the roadmap solutions produced are of high quality and driving business impact.
  • They are always looking for opportunities to help the team deliver solutions that would differentiate MiQ from competitors by researching & brainstorming on cutting edge AI techniques and technologies.
  • You would drive team focus on ML/AI solutions that scale - from tech as well as functional point of view - with application of software development best practices and ML Ops so as to transition solutions smoothly to production and be hosted on MiQ’s proprietary platforms.
  • You would actively contribute to building the MiQ Brand of Data Science by bringing innovation and research to focus internally and externally, through submitting white papers, representing MiQ and presenting at conferences, participating in hackathons etc.

What’s in it for you? 

Our Center of Excellence is the very heart of MiQ, and it’s where the magic happens. It means everything you do and everything you create will have a huge impact on our entire global business.

MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we’re always moving towards becoming an even better place to work. 

Values 

Our values are so much more than statements. They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small.

  • We do what we love - Passion
  • We figure it out - Determination
  • We anticipate the unexpected - Agility
  • We always unite - Unite
  • We dare to be unconventional - Courage

Benefits  

Every region and office has specific perks and benefits, but every person joining MiQ can expect: 

  • A hybrid work environment  
  • New hire orientation with job-specific onboarding and training
  • Internal and global mobility opportunities
  • Competitive healthcare benefits
  • Bonus and performance incentives
  • Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives.
  • Employee resource groups are designed to connect people across all MiQ regions, drive action, and support our communities.

Apply today! 

Equal Opportunity Employer

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About The Company

We’re not your average programmatic media partner, and it's because excellence is in our DNA. Since 2010, our agnostic approach has leveraged the best buying platforms, ad inventory, and audience intelligence in the world, ensuring we deliver first-class service and unmatched performance on brand and agency ad campaigns. Our technology puts sophisticated AI in the hands of our industry experts to make unbiased decisions that never compromise on reach, ROI, quality, or insight. With the largest footprint of TV data and solutions across all channels and verticals, we’re leading the programmatic industry, and making it better.

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