Senior Data Scientist

Job Category: Engineering
Job Experience: 5+ years
Job Type: Full Time
Job Location: Ahmedabad
Apply Now

Growexx is looking for a smart and passionate  Senior Data Scientist, who will empower Marketing, Product, and Sales teams to make strategic, data-driven decisions. 

Key Responsibilities

  • Mine, process, and analyse hit/event level web, product, sales, and digital marketing data.  
  • Develop predictive scoring models and apply machine learning algorithms to customer profile, journey, and usage data. 
  • Deploy ML models into production data sets that can be leveraged for testing/activation on our websites, product applications, and sales/marketing channels.  
  • Develop ML model activation testing plans, benchmarking, and measure final outcomes. 
  • Enhance/Build data visualizations and reports in Tableau.  
  • Work with data engineers to improve and maintain the customer360 data model by defining new feature requirements, making improvements to taxonomy, and identifying bug fixes.  
  • Work with cross-functional teams (BI Enterprise Data Warehouse, Salesforce MOPS, IT, Product teams) to improve data quality in the customer360 data model.  
  • Develop a good understanding of the business’s model, objectives, issues, and challenges by interacting and collaborating with leaders and stakeholders.  
  • Document all model methodology, outcomes, and activated performance. 

Key Skills

  • Experience using Python, SciKit, SQL, Snowflake, hit-level Adobe Analytics data, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github.  
  • Proficiency with data mining, mathematics, and statistical analysis techniques.  
  • Experience with predictive modeling techniques, unsupervised, supervised, reinforcement, causal inference machine learning techniques.  
  • Experience with the following ML steps: data prep, choosing model, feature creation and selection, training, evaluation, parameter tuning, making predictions.  
  • Experience with cookie-level advertising platform data (Google, Bing, Epsilon, LinkedIn, Facebook etc.) and measuring demand generation KPIs (ROAS, CTRs, Impressions, MTA Attribution).  
  • Experience with cookie-level web/product data and KPIs like usage, conversion funnels, bounce rates, unique visitors, sessions, hits/events, pathing and journey optimization.  
  • Experience with designing A/B/Multivariate/Lift testing and measurement for activated ML models in both digital and offline demand generation channels.  
  • Experience gathering and refining requirements from business stakeholders.  
  • Experience communicating ML methodology and findings to both technical and non-technical audiences.  
  • Preferred: experience in an engineering role building, testing, deploying, and measuring ML models using an ensemble approach. 

Education and Experience

  • B Tech or B. E. (Computer Science / Information Technology) 
  • 5 + years as a Data Scientist or similar roles. 

Analytical and Personal skills

  • Must have good logical reasoning and analytical skills. 
  • Good Communication skills in English – both written and verbal. 
  • Demonstrate Ownership and Accountability of their work. 
  • Attention to detail. 

Work with the problem solver engineers team

Apply now

Upload CV/Resume