Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join our team.

As a Data Scientist, you will be responsible for analyzing complex datasets,

developing predictive models, and providing actionable insights to drive data-

driven decision-making across the organization.

Responsibilities:

1. Data Analysis: Perform exploratory data analysis to identify patterns,

trends, and insights from large and complex datasets.

2. Predictive Modeling: Develop and implement advanced predictive models

using statistical and machine learning techniques to solve business

problems and optimize processes.

3. Data Visualization: Create clear and compelling data visualizations,

reports, and dashboards to communicate findings and insights to

stakeholders.

4. Statistical Analysis: Apply statistical methods and hypothesis testing to

validate models and analyze the effectiveness of different approaches.

5. Data Cleaning and Preparation: Clean, preprocess, and transform data to

ensure its quality, integrity, and compatibility for analysis.

6. Collaborate with Stakeholders: Work closely with cross-functional teams

to understand business requirements, define problem statements, and

translate them into analytical solutions.

7. Machine Learning Algorithms: Apply various machine learning

algorithms such as regression, classification, clustering, and

recommendation systems to extract insights and drive business

outcomes.

8. Model Evaluation and Deployment: Assess model performance, perform

model validation, and deploy models into production systems for real-

time decision-making.

9. Stay Current with Industry Trends: Keep abreast of the latest

developments in data science, machine learning, and related technologies

to continuously enhance skills and knowledge.

10. Documentation and Reporting: Document methodologies,

assumptions, and results in a clear and concise manner, and present

findings to technical and non-technical audiences.

Requirements

Qualifications:

Bachelors or Masters degree in a quantitative field such as Computer

Science, Statistics, Mathematics, or a related discipline

Experience of 7-10 years as Data Scientist

Strong experience in data analysis, predictive modeling, and statistical

analysis.

Proficient in programming languages such as Python or R, and familiar

with data manipulation libraries (e.g., pandas, NumPy).

Solid understanding of machine learning algorithms and experience

applying them to real-world problems.

Strong problem-solving skills and the ability to translate business

requirements into analytical solutions.

Excellent communication skills, with the ability to present complex

findings and insights to both technical and non-technical stakeholders.

Benefits

Industrial standards

Experience with the Core PHP, MySQL, Laravel like MVC frameworks Front end technologies like HTML/CSS/JavaScript libraries Knowledge on web servers nginx/Apache Experience of developing secure app Strong OOPS and data structure concepts Experience with JSON concepts and REST APIs Experience working with product management and UI/UX designers Experience working with customers and partners Excellent written and verbal communication skills Ability to work in a dynamic, fast moving, and growing environment Visual Studio Experience in GitHub/GitLab.