Senior / Lead - Data Scientist

Company Description

BLEND360 is adding to our team of passionate people who are revolutionizing the world of Data Science.  We are an award-winning, new breed Data Science\Data Engineering\BI Solutions Company focused on powering exceptional results to our Fortune 500 clients.  We are a growing company – born at the intersection of advanced analytics, data and technology. 

Our new Director of Data Engineering will be in the forefront of driving major projects within BLEND360 and working with our data engineering team to develop innovative data driven solutions that integrate distributed sources of data, perform large scale learning and reasoning, and integrate results.

Job Description

We are seeking an experienced and high functioning Lead Data Scientist who will be actively developing and implementing analytical models and algorithms. The ideal candidate will be responsible for leading the development and implementation of predictive models, data mining algorithms, and statistical analysis techniques to solve complex business problems. The Lead Data Scientist will also be responsible for communicating findings and recommendations to key stakeholders & clients, as well as mentoring and coaching team members.

Key Responsibilities

• Work closely with key stakeholders to identify business problems and develop data-driven solutions.
• Collaborate with cross-functional teams to gather and analyse data, and to develop strategies to improve performance and optimize business outcomes.
• Communicate complex findings and recommendations to technical and non-technical stakeholders in a clear and concise manner.
• Work hands-on and lead the development and implementation of predictive models, data mining algorithms, and statistical analysis techniques.
• Provide technical guidance and mentorship to the team of data scientists.
• Stay up to date with emerging trends and technologies in the field of data science and apply them to improve our analytical capabilities.
• Contribute to DS practise development initiatives including but not limited to innovation, CoEs, trainings, recruitment etc.

Qualifications

• 5+ Years of professional experience in Data Science Industry
• Experience in key Data Science Domains such as, customer analytics (Acquisition modelling, recommendation engine, Segmentation, Lifetime Value, Loyalty, Retention), marketing analytics (MMM, MTA, Synthetics Control), Product & Pricing analytics, with expertise in at least one of the areas
• Experience of variety of Machine Learning algorithms for Classification, Regression, forecasting, Clustering, NLP, LSTM, Optimization with understanding of their real-world advantages/drawbacks
• Expertise with Data Science software languages (Python, SQL). Experience on Spark, R, Hadoop in an addon
• Professional experience in developing solution on cloud-based platforms (Azure, GCP, AWS, Databricks)
• Experience in solving business problem for Retail, CPG, eCommerce, BFSI, Healthcare, Hospitality
• Develop and execute new and/or highly complex algorithms and statistical predictive models and determines analytical approaches and modelling techniques to evaluate potential future outcomes.
• Ability to work effectively in a global team and to be able to demonstrate the ability to communicate technical ideas and results to non-technical clients in written and verbal form.
• Strong organizational skills

Educational Qualifications

• Masters/ Bachelor degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics
• Economics and Advanced Analytics