Careers

iDatalabs
Be part of a team that is working at the intersection of technology, machine learning, and artificial intelligence.

Our mission and values

We are building a world-class engineering team with diverse skills and backgrounds. If you love data, and love solving hard problems, then iDatalabs is the place for you! We are seeking skilled software engineers and data scientists with a background in machine learning. You will be responsible for designing distributed systems, and applying advanced data science techniques, while working closely with our infrastructure, quality, and product management teams.

We value teamwork and collaboration. While we embrace a “never-say-die” attitude, we recognize the importance of a healthy work-life balance. If you think you’d be a good fit for iDatalabs, check out our current openings below.

Open positions

Account Executive

Responsibilities

  • Vet prospects surfaced from inbound marketing channels and generate leads
  • Lead the sales cycle from opportunity identification through to contract signature
  • Represent iDatalabs at conferences, meetups, and industry events

Qualifications

  • Minimum 2 years in technnology sales, ideally with experience working with data and selling to marketing and sales teams
  • Demonstrated strategic and analytical sales approach, with a focus on building relationships
  • Strong written and verbal communication skills

Marketing Executive

Responsibilities

  • Design and execute traffic channel strategies and programs to acquire new customers
  • Plan, develop, and execute a product-to-market strategy
  • Create engaging programs, content and strategies to drive loyalty and repeat purchases

Qualifications

  • Bachelor's degree; 3+ years of marketing experience in a fast-moving B2B company
  • Strong understanding of online marketing ecosystem, marketing channels
  • Excellent written and verbal communication skills as well as collaboration skills

Data Scientist

Responsibilities

  • Architect and build data models to transform data into insights at scale
  • Develop analytical tools to improve the efficiency of the overall platform
  • Provide technical guidance and drive best engineering practices

Qualifications

  • Master's or PhD in CS with background in Machine Learning & Statistics
  • Experience with massively distributed systems (Hadoop/Spark)
  • Expert knowledge of Python or a related scripting language
  • Sharp analytical abilities and design skills