Reduce Inventory Cost, Boost Forecast Accuracy, Improve Production Efficiency with Decisions Intelligence

Pluto7

Data Scientist

Pluto7 seeks a Data Scientist with 3-7 years of experience to collect, analyze, and interpret large datasets, develop predictive models (forecasting, classification, regression), and create data visualizations.  Responsibilities include collaborating with cross-functional teams, researching new techniques, conducting A/B testing, and documenting findings.  Proficiency in Python, machine learning frameworks (Scikit-learn, XGBoost, etc.), and cloud platforms (GCP) is crucial. The role involves developing and deploying machine learning models, potentially contributing to data engineering infrastructure and security as needed.

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 About Pluto7: At Pluto 7, we are looking for creative thinkers eager to make an impact in the world of data science and technology. Working with Pluto7 you will get an opportunity to solve complex data challenges for some of the world's biggest companies. You will collaborate with global teams across the Bay Area, Dubai, and India to deliver large-scale, innovation-led projects. We are a close-knit tribe of individuals who are really passionate about data, and we have a lot of fun solving challenges that very few others in the world can solve. If you want to fuel your passion and take your career to the next level, join us. Who are we? Pluto7 is a tech-enabled solutions company with expertise in Machine Learning, AI, and Data Analytics services on Cloud Platforms. At Pluto7, our mission is to deliver customer-centric data solutions to global enterprises, helping them improve their customer experience and making their supply chains intelligent and resilient. Leading companies across the globe use our AI-enabled data cloud platform, 'Planning in a Box,' to streamline and enhance their data value chain. Job Summary: We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. You will apply your analytical, statistical, and programming skills to collect, analyze, and interpret large data sets and develop data-driven solutions. Experience: 3 to 7 Years Key Responsibilities: <ul><li> Data Collection and Analysis: Gather, clean, and process large datasets from various sources, ensuring data quality and integrity.</li><li> Model Development: Develop predictive models and machine learning algorithms to solve complex business problems.</li><li> Data Visualization: Create clear and concise data visualizations, reports, and dashboards to communicate insights to stakeholders.</li><li> Collaboration: Work closely with cross-functional teams, including engineering, product, and marketing, to understand their needs and provide data-driven solutions.</li><li> Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and continuously improve existing models and processes.</li><li> Experimentation: Design and execute A/B tests and other experiments to measure the impact of changes and make data-driven recommendations.</li><li> Documentation: Maintain comprehensive documentation of data sources, methodologies, and findings.</li><li>Develop and deploy machine learning models for forecasting, classification, and regression tasks. Experience with forecasting and MLOps is highly advantageous.</li><li>Use Python programming and libraries such as scikit-learn, pmdarima, darts, XGBoost, and so on to build ML models.</li><li>Utilize Docker, GitHub, and GCP cloud service.</li><li>Willingness to work as a data engineer and enable infrastructure and security for data foundation as needed. </li></ul>
Qualifications: <ul><li> Education: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.</li><li> Experience:</li><li> Proven experience as a Data Scientist or in a similar role.</li><li> Strong experience with statistical software (e.g., R, Python) and database management (e.g., SQL).</li><li> Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). </li></ul>
Skills: <ul><li> Strong analytical and problem-solving skills.</li><li> Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders.</li><li> Proficiency in data wrangling, exploration, and feature engineering.</li><li> Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.</li></ul>

 
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