Data Scientist I – Machine Learning

Job Description

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 architecture

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

#GraphicDesignJobsOnline

#WebDesignRemoteJobs #FreelanceGraphicDesigner #WorkFromHomeDesignJobs #OnlineWebDesignWork #RemoteDesignOpportunities #HireGraphicDesigners #DigitalDesignCareers# Dynamicbrand guru