Data Scientist, R&I - Assistant/Deputy Manager

Job Description

Title: Data Scientist, R&I - Assistant/Deputy Manager

Company Name: Akij Resources

Vacancy: --

Age: At least 28 years

Job Location: Dhaka

Salary: Negotiable

Experience:

• 4 to 8 years
• The applicants should have experience in the following business area(s): Manufacturing (FMCG), IT Enabled Service, Shipping, Food (Packaged)/Beverage, Agro based firms (incl. Agro Processing/Seed/GM), Group of Companies, Packaging Industry, Cement Industry, Steel

• Bachelor’s / Master’s degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering or a related quantitative discipline

• Degree from a reputed public or private university

• Professional certification or advanced training in machine learning, predictive analytics, data engineering, BI, cloud analytics or AI/ML tools will be preferred

• 4 to 8 years
• The applicants should have experience in the following business area(s): Manufacturing (FMCG), IT Enabled Service, Shipping, Food (Packaged)/Beverage, Agro based firms (incl. Agro Processing/Seed/GM), Group of Companies, Packaging Industry, Cement Industry, Steel

• Age At least 28 years

• Minimum 4–8 years of relevant experience in data science, machine learning, analytics, BI, forecasting, data engineering, optimization, AI/ML or enterprise reporting

• Experience in developing predictive models, forecasting models, classification/scoring models, experiment design, model validation, feature engineering or analytical automation will be preferred

• Experience in manufacturing, trading, FMCG, building materials, commodities, finance, supply chain, sales, procurement or multi-business group environment will be an added advantage

Skills & Competencies

• Strong capability in statistics, machine learning, forecasting, predictive analytics, feature engineering, experiment tracking, model validation and business interpretation

• Proficiency in Python and/or R, SQL, data preparation, visualization, model documentation and structured analytical problem-solving

• Practical understanding of supervised and unsupervised learning, time-series forecasting, classification, regression, clustering, optimization and risk scoring techniques

• Ability to work with structured and unstructured datasets, clean data, define variables, assess data quality and document analytical assumptions clearly

• Ability to prepare model cards, dashboards, data tables, scenario outputs, management presentations and concise business recommendations

• Proficiency in MS Office Suite and/or Google Workspace; exposure to Power BI, dashboarding tools, Git/version control, cloud platforms or data pipeline tools will be preferred

• Strong communication, stakeholder coordination and business translation capability for non-technical management users

Job Purpose

The position is responsible for developing predictive analytics, forecasting models, machine learning solutions and decision-support algorithms to improve business planning, risk assessment, optimization and strategic decision-making. The role converts complex datasets into practical business solutions by preparing data, engineering features, validating models, integrating outputs into dashboards or decision workflows and translating analytical findings into clear management recommendations.

Key Responsibilities

● Develop forecasting, predictive, classification, scoring, optimization and risk assessment models aligned with approved business use cases and decision requirements.

● Prepare data, engineer features, design experiments, validate model performance and translate model outputs into business interpretation and practical action points.

● Build, test and maintain reusable statistical, machine learning and analytical scripts, notebooks, pipelines and model-support datasets using approved tools and data sources.

● Collaborate with BI, data engineering, IT/data owners and business teams to operationalize analytical models through dashboards, reports, alerts or decision workflows.

● Monitor model drift, accuracy, performance, retraining needs, assumptions, override rules and limitations for controlled and responsible business use.

● Maintain model documentation including objective, owner, data period, variables, assumptions, validation result, limitations, version history and review frequency.

● Prepare scenario analysis, forecast outputs, model insights, dashboard inputs, technical notes and management presentations for non-technical stakeholders.

● Support business teams in converting analytical results into planning, performance monitoring, risk assessment, opportunity identification and decision follow-up.

● Ensure confidentiality, source traceability, proper version control, data classification and responsible use of all datasets, models, dashboards and communications.

• T/A,Provident fund,Medical allowance,Mobile bill,Gratuity
• Festival Bonus: 2