Data Scientist

7 days ago

Navi Mumbai, India Hrizen techno services Full time

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

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