Tekonika - Data Scientist I - Machine Learning

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 :

- 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 :

- Clean, preprocess, and transform data for modeling purposes

- Collaborate with data engineers to ensure data availability and quality

Business Collaboration :

- 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 :

- Exposure to MLOps and model deployment frameworks

- Experience in domain areas like e-commerce, fintech, or healthcare

- Familiarity with APIs and microservices architecture

Key Competencies :

- 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 :

- Collaborative and innovative environment

- Competitive compensation and benefits

- Career growth and learning opportunities