Interesting Job Opportunity: 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 : 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)