Data Analyst
About the role
Are you a passionate Senior Data Analyst with experience in machine learning? Are you excited about transforming large structured and unstructured data sets into valuable insights and predictions to drive business decisions?
If you have a strong understanding of the machine learning lifecycle and expertise in utilizing various machine learning techniques, we have the perfect opportunity for you!
What responsibilities will you be handling ?
As a Data Analyst at Mallow, here are some of the key responsibilities you will be handling:
- Develop data management policies and processes.
- Set up and maintain automated data processes.
- Identify and setup tools/services for Data validations and cleansing.
- Produce and track key performing indicators.
- Develop and support reporting processes.
- Mine and analyse large datasets, draw valid inferences and present them successfully to the management team using a reporting tool.
- Selecting appropriate data sets for the ML model.
- Develop AI and machine learning applications according to requirements.
- Developing ML algorithms to analyse huge volumes of historical data to make predictions.
- Run machine learning tests and experiments.
- Deploying ML models to production.
- Keeping abreast of developments in machine learning.
- Collaborating with the team and leaders to identify opportunities for improvements, recommend system modifications, and develop policies for data governance.
- Paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Required qualifications/ skills
- 3 to 6 years of relevant experience
- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop
- Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision tree, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning
- Good knowledge of ML tools like TensorFlow, Colab, SciKit Learn, PyTorch, Jupyter Notebook, etc
- Good numerical, analytical and statistical skills
- Good knowledge of SQL
- Experience in Python (preferred) / R languages
- Experience in data analysis tools like Tableau, Microsoft Power BI or any relevant tools
- Good communication skills
- Experience in statistical methodologies and data analysis techniques
- Ability to produce intuitive graphical representations and data visualisations
Preferred qualifications/ skills
- Data Analytics certification
- Machine learning certification
- Your machine learning portfolio
- Tableau Server Certified Professional or any relevant tools certification
Submit your resume