Description
We are looking for a highly analytical and results-driven Data Scientist - I to leverage data for strategic decision-making and business impact.
The ideal candidate will work on building predictive models, analyzing large datasets, and delivering actionable insights while collaborating with cross-functional teams.
Key Responsibilities
Data Analysis & Insights :
- Analyze large, structured, and unstructured datasets to extract meaningful insights
- Identify trends, patterns, and correlations to support business decisions
- Perform exploratory data analysis (EDA) and present findings to stakeholders
Model Development & Deployment
- Build, validate, and deploy machine learning and statistical models
- Develop predictive and prescriptive analytics solutions
- Optimize model performance using appropriate evaluation metrics
Data Engineering & Processing
- Work with large-scale data pipelines and ETL processes
- Clean, preprocess, and transform data for modeling purposes
- Collaborate with data engineers to ensure data availability and quality
Business Collaboration
- Partner with product, business, and engineering teams to understand requirements
- Translate business problems into data science solutions
- Communicate insights and recommendations to non-technical stakeholders
Experimentation & Optimization
- Design and analyze A/B tests and experiments
- Measure impact of models and initiatives using data-driven approaches
- Continuously improve models and methodologies
Visualization & Reporting
- Create dashboards and visualizations to track key metrics
- Use tools like Tableau, Power BI, or similar for reporting
- Present insights in a clear and actionable manner
Required Skills & Qualifications
- 6 - 9 years of experience in Data Science, Machine Learning, or related roles
- Strong programming skills in Python or R
- Hands-on experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
- Solid understanding of statistics, probability, and predictive modeling
- Experience with SQL and working with relational databases
- Strong experience in data wrangling, feature engineering, and model evaluation
- Knowledge of big data technologies like Spark, Hadoop, or similar
- Experience with cloud platforms (AWS, Azure, or GCP)
Preferred Qualifications
- Experience in NLP, Computer Vision, or Deep Learning
- Exposure to MLOps and model deployment frameworks
- Experience in domain areas like e-commerce, fintech, or healthcare
- Familiarity with APIs and microservices Competencies :
- Problem-Solving & Analytical Thinking
- Business Acumen
- Communication & Storytelling with Data
- Collaboration & Stakeholder Management
- Attention to Detail
KPIs / Success Metrics
- Accuracy and performance of deployed models
- Business impact (revenue growth, cost reduction, efficiency improvements)
- Timely delivery of data-driven insights
- Adoption of models and recommendations by stakeholders
What We Offer
- Opportunity to work on high-impact data-driven projects
- Collaborative and innovative environment
- Competitive compensation and benefits
- Career growth and learning opportunities
(ref:hirist.tech)
