Interesting Job Opportunity: Tekonika – Data Scientist I – Machine Learning Full Time

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)