Sociotech Systems Pvt Ltd.
Overview
Transform Data Into Strategic Business Insights We are seeking a talented Data Scientist to join our innovative analytics team. In this role, you will leverage advanced statistical techniques, machine learning algorithms, and cutting-edge technologies to extract meaningful insights from complex datasets. You'll work closely with business stakeholders to identify opportunities, solve challenging problems, and drive data-informed decision-making across the organization. Responsibilities
Develop and implement advanced machine learning models to solve complex business problems Analyze large, complex datasets to identify patterns, trends, and actionable insights Design and conduct experiments to test hypotheses and validate business strategies Build predictive models and algorithms to optimize business processes and outcomes Create compelling data visualizations and dashboards to communicate findings to stakeholders Collaborate with engineering teams to deploy models into production environments Develop automated data pipelines and ETL processes for efficient data processing Conduct A/B testing and statistical analysis to measure impact of initiatives Research and implement state-of-the-art algorithms and techniques Mentor junior data scientists and promote data-driven culture across the organization Programming Languages
Python, R, SQL, Scala, Julia, Java Data Tools & Platforms
Tableau, Power BI, Looker, Jupyter, Matplotlib, Plotly, D3.js Analytics & Visualization
Tableau, Power BI, Matplotlib, Plotly, D3.js, Looker, Jupyter Qualifications
Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field 3+ years of experience in data science, machine learning, or advanced analytics Strong foundation in statistical analysis, probability theory, and experimental design Expertise in machine learning algorithms including deep learning, NLP, and computer vision Proficiency in at least one programming language (Python preferred) and SQL Experience with big data technologies and distributed computing frameworks Excellent communication skills with ability to explain complex concepts to non-technical audiences Track record of delivering impactful data science projects from conception to deployment Strong business acumen and ability to translate business problems into analytical solutions Preferred Qualifications
Published research papers or contributions to data science conferences Experience with real-time streaming analytics and edge computing Knowledge of reinforcement learning and optimization techniques Familiarity with MLOps practices and model lifecycle management Experience in specific domains (e.g., finance, healthcare, e-commerce) Certifications in cloud platforms (AWS, GCP, Azure) Active participation in Kaggle competitions or open-source projects What You'll Work On
Customer segmentation and personalization algorithms Predictive maintenance models for IoT devices Natural language processing for sentiment analysis and chatbots Computer vision applications for quality control and automation Time series forecasting for demand planning and inventory optimization Recommendation systems to enhance user experience Fraud detection and anomaly detection systems Optimization algorithms for resource allocation and scheduling Ready to Make an Impact?
Join our data science team and help shape the future of our organization through data-driven innovation. We're looking for passionate data scientists who are excited about solving complex problems and making a real difference. #J-18808-Ljbffr
Transform Data Into Strategic Business Insights We are seeking a talented Data Scientist to join our innovative analytics team. In this role, you will leverage advanced statistical techniques, machine learning algorithms, and cutting-edge technologies to extract meaningful insights from complex datasets. You'll work closely with business stakeholders to identify opportunities, solve challenging problems, and drive data-informed decision-making across the organization. Responsibilities
Develop and implement advanced machine learning models to solve complex business problems Analyze large, complex datasets to identify patterns, trends, and actionable insights Design and conduct experiments to test hypotheses and validate business strategies Build predictive models and algorithms to optimize business processes and outcomes Create compelling data visualizations and dashboards to communicate findings to stakeholders Collaborate with engineering teams to deploy models into production environments Develop automated data pipelines and ETL processes for efficient data processing Conduct A/B testing and statistical analysis to measure impact of initiatives Research and implement state-of-the-art algorithms and techniques Mentor junior data scientists and promote data-driven culture across the organization Programming Languages
Python, R, SQL, Scala, Julia, Java Data Tools & Platforms
Tableau, Power BI, Looker, Jupyter, Matplotlib, Plotly, D3.js Analytics & Visualization
Tableau, Power BI, Matplotlib, Plotly, D3.js, Looker, Jupyter Qualifications
Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field 3+ years of experience in data science, machine learning, or advanced analytics Strong foundation in statistical analysis, probability theory, and experimental design Expertise in machine learning algorithms including deep learning, NLP, and computer vision Proficiency in at least one programming language (Python preferred) and SQL Experience with big data technologies and distributed computing frameworks Excellent communication skills with ability to explain complex concepts to non-technical audiences Track record of delivering impactful data science projects from conception to deployment Strong business acumen and ability to translate business problems into analytical solutions Preferred Qualifications
Published research papers or contributions to data science conferences Experience with real-time streaming analytics and edge computing Knowledge of reinforcement learning and optimization techniques Familiarity with MLOps practices and model lifecycle management Experience in specific domains (e.g., finance, healthcare, e-commerce) Certifications in cloud platforms (AWS, GCP, Azure) Active participation in Kaggle competitions or open-source projects What You'll Work On
Customer segmentation and personalization algorithms Predictive maintenance models for IoT devices Natural language processing for sentiment analysis and chatbots Computer vision applications for quality control and automation Time series forecasting for demand planning and inventory optimization Recommendation systems to enhance user experience Fraud detection and anomaly detection systems Optimization algorithms for resource allocation and scheduling Ready to Make an Impact?
Join our data science team and help shape the future of our organization through data-driven innovation. We're looking for passionate data scientists who are excited about solving complex problems and making a real difference. #J-18808-Ljbffr