Tekonika - Data Scientist I - Machine Learning
Job 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
- Build, validate, and deploy machine learning and statistical models
- Develop predictive and prescriptive analytics solutions
- Optimize model performance using appropriate evaluation metrics
- 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
- 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
- Design and analyze A/B tests and experiments
- Measure impact of models and initiatives using data-driven approaches
- Continuously improve models and methodologies
- 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
- 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)
Looking to get Placed? Try our Placement Guarantee Plan
- 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
- 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
- Opportunity to work on high-impact data-driven projects
- Collaborative and innovative environment
- Competitive compensation and benefits
- Career growth and learning opportunities
Skills
Big DataPythonData AnalysisData ScienceDeep LearningEtlCost ReductionMachine LearningPredictive ModelingPrescriptive AnalyticsVisualizationData ScientistAnalyticsMlSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
05 Jun 26, 01:55 PM IST
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