Data Scientist

• Company ZURU Tech India Pvt Ltd
• No. of Openings 7
• Salary Not Disclosed
• Work Type on-site

Job Description :

Job Title: Junior Data Scientist Global Markets
Team: Performance Marketing
Business: ZURU Toys
Reports To: Global Data & Analytics Manager (In Auckland)
Direct Reports: N/A
Location: India
Role Purpose:
This role is responsible for doing comparative analysis on commercial sales and marketing efforts for both our TOYS & EDGE business units globally, with the key objective of identifying key insights that support ZURUs international growth. A passion for Data Science and adapting to a rapidly evolving ecosystem is highly encouraged as this role will start working with bleeding-edge tech to drive technical analysis.

Core Remit:

• Help the measurement, benchmarking & optimization of Marketing & Commercial to create business impact
• Contribute to Data Science Methodologies and statistical approaches to measurement
• BI reporting: making new/modifying existing dashboards to stakeholder specifications
• Communicate & collaborate with performance teams, brand teams, external partners or even directly with our executive team, e.g. to business case measurement resource requirements
• Help deliver measurement methods like cannibalisation, cross channel attribution, media mix modelling, propensity to purchase/churn, global benchmarking, correlation regression analysis, time series sequencing & econometrics etc with a roadmap around these as we advance over time.
• Contribute & consult on wider business data & analytics in general, as they relate to considerations from your disciplines or expertise. Working with or leading related offshore resources as required.
• Contribute to global measurement strategy & execution across both parent & child TOYS journeys, EDGE FMCG retail journeys, as well as full purchase cycle ecommerce journeys.

Skills & Experience Required:

• 2 to 4 years’ experience in a technical analyst role (financial, manufacturing, commercial or similar), with experience applying ML models (NLP especially) a significant plus.
• Ability to multi-task and be able to set priorities, stay focused, and set clear milestones.
• A go-getter with energy and determination to continuously improve and push boundaries.
• Superior verbal and written communication skills as well as strong presentation skills.
• Strong Excel skills.
• Confident ability in Python/R.
• Experience in SQL or other similar querying language a significant plus.
• Enthusiastic about BI reporting, with some experience in Tableau/ PowerBI (Tableau preferred).
• Some understanding/experience of modern data warehouses/machine learning platforms like Snowflake, Azure Synapse, AWS RedShift or BigQuery.
• Some understanding/willingness to learn modern data warehouses/machine learning in the AWS environment.
• Some understanding of MarTech, (ie Google Analytics/ FaceBook Ads) a plus.