Quest Business Solution
Location
Gurgaon | India
Job description
Job Description :As a Data Scientist, you will play a pivotal role in leveraging data to drive actionable insights and solutions that support business objectives and drive innovation. You will work closely with new development and cross-functional teams to analyse complex datasets, develop predictive models, and deliver data-driven recommendations to solve business challenges.Total Experience : 5-8 YearsRelevant Experience : 5 YearsResponsibilities :Data Exploration & Preparation: Collect, clean, and pre-process data from various sources, including structured and unstructured data. Explore and understand data characteristics, patterns, and anomalies.Statistical Analysis & Modelling: Apply statistical analysis, machine learning, and predictive modelling techniques to develop models that uncover insights and make predictions. Utilize algorithms such as regression, classification, clustering, and deep learning.Feature Engineering & Selection: Engineer relevant features from raw data and select the most predictive features for modelling. Optimize feature selection techniques to improve model performance.Model Development & Evaluation: Develop and train machine learning models using appropriate algorithms and methodologies. Evaluate model performance using metrics such as accuracy, precision, recall, and AUC.Model Deployment & Integration: Deploy models into production environments and integrate them with existing systems and applications. Monitor model performance and recalibrate models as needed.Data Visualization & Interpretation: Create visualizations and dashboards to communicate insights and findings to stakeholders. Translate complex analytical results into actionable recommendations for business leaders.Experimentation & A/B Testing: Design and execute experiments to test hypotheses and validate model performance. Analyse experiment results and provide insights to improve decision-making.Collaboration & Communication: Collaborate with cross-functional teams, including data engineers, business analysts, and stakeholders. Communicate findings, methodologies, and recommendations effectively to both technical and non-technical audiences.Continuous Learning & Development: Stay updated on the latest trends, tools, and techniques in data science and related fields. Continuously enhance your skills and expertise through self-learning, training, and professional development opportunities.Desired Skills :Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field. Advanced degree (e.g., Master's) preferred.Proven experience (5+ years) in data science, machine learning, or related roles.Strong proficiency in programming languages such as Python or others. Experience with libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark is a plus.Solid understanding of statistical analysis, machine learning algorithms, and data mining techniques.Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus.Excellent analytical and problem-solving skills. Ability to work with large datasets and complex analytical challenges.Strong communication and collaboration skills. Ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.Education : B. Tech, M. Tech, BCA, MCAPreferred Domain : IT or Healthcare IT (ref:hirist.tech)
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