Sociotech Systems Pvt Ltd.
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.
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
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
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
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