Bachelor s or master s degree in computer science or Mathematics/Statistics.
3+ years of experience as a Data scientist
Strong programming skills in Python/R.
Experience with Pyspark and big data framework and databases
Proficiency in machine learning techniques and algorithms.
Experience with data preprocessing, feature engineering, and model evaluation.
Ability to translate business problems into analytical solutions.
Deep understanding of statistical analysis and experimental design.
Expertise in using libraries such as scikit-learn, TensorFlow, or PyTorch.
Experience with big data tools like Spark.
Previous involvement in end-to-end model deployment.
following ways:
Driving client stickiness: With your ability to leverage different datasets in the MiQ ecosystem, merge them together, and run the data science and machine learning models, you will own the data science products and solution development and deployment. Your capability to swiftly incorporate client feedback into the data science solutions will ensure that the clients stickiness is improved.
Driving Profitability: By leveraging the power of data science and statistics you are expected to work with other data scientists consultants to identify areas where we can create data science-based activation or optimization solutions to optimize costs enhance the performance of campaigns thus making better margins and profitability in comparison to our competitors
MiQ Growth: Having a deeper understanding of the data science products that are there in the outside market the ability to leverage data in the MiQ ecosystem to re-create those solutions that can help support MiQs business tap into new revenue streams to drive growth
Support Key Decision-Making: Your expertise in the data science and statistical analysis approach provides decision-makers with the necessary information to make informed choices. The data science-backed solutions help guide agencies, advertisers internal stakeholders in making strategic and tactical decisions that align with the MiQs or clients objectives.
Data Scientists Best Practices: As a Senior Data Scientist, you are expected to lead (to some capacity) the initiative of introducing machine learning, data science statistics solution backend creation best practices within the team, own the deployment of ML algorithms and solutions end to end, and bring in quality frameworks within the team internal stakeholders 6. Developing Custom Analytics Solutions: Leveraging your expertise in ML solution development, you will be expected to provide solutions to vertical-level problems own the development of MiQ local products in terms of DS expertise.