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We are looking for an analytical and detail-oriented Machine Learning Analyst to join our team. In this role, you will be building scalable machine learning applications and will bridge the gap between technical data science work and actionable business strategy. You will be responsible for cleaning and preparing data, building baseline models, analyzing model performance, and most importantly translating complex model outputs into clear insights for stakeholders. If you love digging into data to understand why a model made a specific prediction and enjoy storytelling with data, this role is for you. You will be highly encouraged to explore new technologies and come up with innovative solutions that could take the team’s capabilities to the next level.
Job Responsibility:
Data Preparation: Extract, clean, and organize large datasets using SQL and Python to get them ready for analysis
Model Building: develop, test, and maintain machine learning models to predict business outcomes
Contextualize Performance: Move beyond technical metrics (like accuracy or error rates) to explain model results in terms of ROI, customer behavior, and risk
Present the 'So What?': Craft executive presentations (using PowerPoint, etc.) that explain why a model prediction matters and how it impacts business strategy
Visual Storytelling: Design intuitive charts and dashboards that guide the audience through the data, highlighting the most critical trends and insights
Advise & Influence: Act as a data consultant, using your analysis to persuade team leaders and drive evidence-based decision-making
End-to-End Analysis: Manage the full narrative arc of a project, from cleaning the raw data to delivering the final recommendation
Collaboration: Work closely with engineers and managers to identify new opportunities where data can solve problems
Requirements:
3+ years of hands-on experience in building machine learning models and pipelines
Working knowledge of one or more SQL languages: Snowflake, PostgreSQL, Oracle, MySQL, etc.
Working knowledge of one or more scientific programming languages/packages: Python, Java, etc.
Knowledge and solid understanding of fundamental Machine Learning concepts (Regression, Classification, Forecasting) and algorithms
Data Storytelling: Ability to weave complex data and model outputs into a clear, compelling narrative that drives business action
Experience with visualization tools like Power BI, Tableau, and Python libraries (Matplotlib, Seaborn, Plotly)
Familiarity with version control (Git)
Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, Physics, or a related field with project experience in machine learning and statistical modeling
Nice to have:
Experience with cloud platforms (AWS, Google Cloud, Azure)
Experience with LLMs, Streamlit
Knowledge of NLP (Natural Language Processing) or basic Deep Learning frameworks (PyTorch/TensorFlow)
What we offer:
Best-in-class compensation plans
Two annual festival bonuses
Recognition and rewards programs
Vacations days
Annual Work/Service Anniversary Leave
Parental leave (both maternity and paternity)
Health insurance
Reproductive benefits for both parents
Volunteering opportunities to make a difference
Chance to work alongside our incredible global team
Free communal transport facilities inside Dhaka to and from the office
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