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Data Scientist

Job in Snowflake, Navajo County, Arizona, 85937, USA
Listing for: Sociotech Systems Pvt Ltd.
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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.

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