Data Scientist

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About the Role

We are hiring a Data Scientist with 3–4 years of experience who has a strong foundation in data analysis, machine learning, and business problem-solving. This role is ideal for someone who is hands-on with modern tools and techniques, eager to explore new technologies, and enjoys working in a collaborative, fast-paced environment.

Key Responsibilities

• Analyze complex datasets to uncover patterns, trends, and actionable insights.
• Build, validate, and deploy machine learning models for predictive analytics, classification, and clustering.
• Design and maintain efficient data pipelines and ETL processes.
• Create clear, interactive dashboards and reports using tools such as Power BI, Tableau, or Python visualization libraries.
• Collaborate with product managers, developers, and business analysts to understand requirements and deliver data-driven solutions.
• Conduct A/B testing and statistical analysis to support product decisions and optimizations.
• Continuously improve model performance based on feedback and business objectives.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 3–4 years of experience in data science or a similar role.
• Strong programming skills in Python (Pandas, NumPy, Scikit-learn), SQL, and familiarity with PHP or Node.js.
• Hands-on experience with data visualization tools such as Power BI or Tableau.
• Good understanding of machine learning algorithms, data preprocessing, and feature engineering.
• Experience working with structured and unstructured data, including NoSQL databases like MongoDB.
• Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus.
• Must have Industry exposure of

  B2B SAAS

  in the IT Sector

Soft Skills

• Strong analytical and problem-solving abilities.
• Effective communication and data storytelling skills.
• Ability to work independently as well as collaboratively in cross-functional teams.
• A mindset geared toward innovation, learning, and adaptability.

Why Join Us

• Work on meaningful and challenging problems in a tech-focused environment.
• Join a young, supportive, and fast-moving team.
• Gain exposure to a combination of data science, product, and engineering.
• Opportunity to learn and grow continuously in a culture of innovation.

If you’re passionate about using data to drive business impact, we’d love to hear from you. Apply now and grow with us at Sequifi.

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