ShyftLabs
ShyftLabs
ShyftLabs उद्यमों को डेटा और कृत्रिम बुद्धिमत्ता को व्यावहारिक व्यावसायिक क्षमताओं में बदलने में मदद करती है। इसका काम डेटा और एआई परामर्श, त्वरित प्रोटोटाइप तैयार करने, समाधान प्रदान करने, प्लेटफ़ॉर्म का विस्तार करने और निरंतर संचालन तक फैला है। कंपनी प्रारंभिक रणनीति से लेकर उत्पादन में तैनाती तक संगठनों का सहयोग करती है। ShyftLabs सुरक्षित डेटा अवसंरचना, क्लाउड प्लेटफ़ॉर्म सेवाएँ, विश्लेषण और एआई समाधान विकसित करती है, जिन्हें मौजूदा कार्यप्रवाहों के साथ एकीकृत करने और परिचालन प्रदर्शन बेहतर बनाने के लिए तैयार किया जाता है। कंपनी ग्राहकों की डेटा और एआई पहलों के पूरे जीवनचक्र में साझेदारी करती है और उनके परिवर्तन लक्ष्यों के अनुरूप कार्यान्वयन तैयार करती है।

Data Scientist (Hybrid, India)

ShyftLabs is seeking a Data Scientist to develop predictive models, run experiments, and build data pipelines. The role turns complex analysis into recommendations that inform product and business decisions.

विवरण

  • Develop and validate machine learning models for forecasting, segmentation, and recommendations
  • Work with product and engineering teams to frame business questions as analytical problems
  • Explore and analyze large datasets to identify meaningful patterns
  • Plan and assess A/B tests and other experiments
  • Create and maintain data pipelines in collaboration with data engineering
  • Present insights through reports, dashboards, and presentations
  • Track deployed model performance and drift, improving models when needed
  • Help establish strong practices for experimentation, model evaluation, and data quality
  • Transform company data into actionable insights and intelligent products

आवश्यकताएँ

  • At least three years of experience in data science, applied machine learning, or quantitative analytics
  • Advanced working knowledge of Python, including Pandas, NumPy, and Scikit-learn, plus SQL
  • Strong understanding of statistics and experiment design, including A/B testing
  • Practical experience developing and evaluating machine learning models for real-world applications
  • Clear communication skills for explaining technical results to non-technical audiences
  • Experience handling large datasets and producing efficient, production-ready analysis code
  • Familiarity with Matplotlib, Seaborn, Tableau, or comparable data visualization tools
  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • SQL
  • Statistics and experiment design, including A/B testing
  • Machine learning model development

लाभ

  • Competitive compensation with performance-based bonuses
  • Flexible working hours with remote and hybrid work options
  • Health insurance and wellness benefits
  • Budget for learning and professional development
  • Collaborative setting where analytical work directly informs decisions

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