Data Scientist - Python

<p><p><b>Responsibilities :</b></p><br/><p>- Collect, clean, and analyze data from multiple sources to support business objectives.</p><br/><p>- Build, validate, and deploy machine learning models to improve product features, customer experience, and operational efficiency.</p><br/><p>- Work closely with cross-functional teams to design experiments, track KPIs, and measure the impact of data-driven initiatives.</p><br/><p>- Maintain clear documentation, reproducible code, and dashboards to track model performance and business outcomes.</p><br/><p>- Continuously explore new datasets, tools, and methodologies to improve analytics capabilities.</p><br/><p>- Ensure data quality, integrity, and governance across all projects.</p><br/><p><b>Top 3 Daily Tasks : </b></p><br/><p>- Analyze large datasets to extract insights, identify patterns, and support decision-making.</p><br/><p>- Develop predictive and prescriptive models using machine learning, statistical, and optimization techniques.</p><br/><p>- Collaborate with Product, Engineering, and Business teams to implement data-driven solutions and track their impact.</p><br/><p><b>Requirements : </b></p><br/><p>- Someone with strong experience in data analysis, statistical modeling, and machine learning.</p><br/><p>- A professional comfortable working with large, complex datasets and building actionable insights.</p><br/><p>- Someone with hands-on experience in Python, R, SQL, and data visualization tools.</p><br/><p>- Detail-oriented, organized, and passionate about building robust, scalable, and reproducible models.</p><br/><p>- Excellent in communication, able to translate technical findings into business recommendations.</p><br/><p>- Proactive and comfortably manage multiple analytics projects simultaneously while ensuring alignment across teams.</p><br/><p><b>Minimum Work Experience Required : </b></p><br/><p>- 2-5 years of hands-on experience in data science or analytics roles.</p><br/><p>- Proven experience in building and deploying machine learning models.</p><br/><p><b>Top 5 Skills You Should Possess : </b></p><br/><p>- Strong programming skills in Python (or R) and experience with libraries like Pandas, NumPy, scikit-learn, or TensorFlow.</p><br/><p>- Proficiency in SQL and working with relational and non-relational databases.</p><br/><p>- Solid understanding of statistics, hypothesis testing, and data modeling techniques.</p><br/><p>- Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn.</p><br/><p>- Ability to work independently, prioritize tasks, and communicate findings clearly to non-technical stakeholders.</p><br/></p> (ref:hirist.tech)