We are looking to hire an experienced data scientist to join us and help design and implement machine learning models within our AWS and Snowflake ecosystem. This includes monitoring performance and streamlining reporting processes.

We require at least 2 days per week in the Delhi office.

• Hands-on with data science and machine learning projects

• Understand company’s current analytic capabilities and access to media platforms

• Develop requirements and collaborate with analytic team leaders to integrate analytic solutions into company’s or client product platforms.

• You will be able to analyse client 1st party marketing interaction data and connect with 3rd party data sets.

• Integrate APIs seamlessly to ensure smooth data flow and application functionality.

• Use your data science experience to identify the best analytic approach to solve complex marketing problems facing B2B clients including:

• Create deploy proprietary audience propensity models for media teams within the digital media activation ecosystem

• Demonstrated knowledge of multi-channel attribution to see each channel’s value and importance for a campaign

• Experience in working within Media platforms to implement custom audience segmentation.

• Experience in A/B testing within web, email, and advertising utilities.

• Consult and approve ETL and data architecture within company’s client data lake

• Design, develop, and evaluate unsupervised, supervised, and reinforcement machine learning algorithms.

• Development of multi-channel marketing dashboards visualizations including management of data streams through ETL / Data connectivity platforms.

• Demonstrated proficiency working with business and technical teams to integrate algorithms into platforms using large datasets

• Expert statistics skills such as distributions, stat sig testing, sample sizing, regression, etc.

• Strong organizational, communication, and presentation skills

• Proven ability in handling concurrent projects with attention to detail and accuracy

• Familiarity with digital and media analytics

• Masters degree in computational, mathematical, engineering, or scientific field

• 5+ years of industry experience in areas such as data science, machine learning, artificial intelligence, and statistics application

• Mastery of the following languages SQL, Python, R, etc. – Must.

• Strong knowledge and experience working with APIs, particularly RESTful APIs.

• Proficient with AWS cloud services and Snowflake warehousing infrastructures

• Experience manipulating structured and unstructured data sets

• Ability to join, explore, and establish quality checks on data from various disparate sources

• Capable of reducing vast amounts of unstructured data into manageable inputs that provide actionable insights

• Ability to apply techniques to data with missing values, outliers, and inconsistent formatting