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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<div>About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.&nbsp;</div><div>The Zscaler Sales and Go-to-Market team is a global group of professionals who are passionate about delighting our customers, nurturing trusted partnerships, and sharing their expertise to drive a secure, cloud-enabled digital future and further cement our position as the world leader in cloud security. Sales, Customer Success, Sales Enablement, Solution Architects, Business Development, Transformation, and Technology Partnerships all work together to demonstrate the power and agility of Zscaler cloud transformation to the world. We're looking for an Account Executive, Majors to join our team. Reporting to the Regional Director, you will: <ul> <li>Build relationships with important internal and customer stakeholders, including c-suite decision-makers</li> <li>Create a long-term account strategy aligned with customer goals</li> <li>Collaborate with our teams to meet customer needs and contribute to account planning</li> <li>Be a trusted advisor, understanding client businesses and aligning Zscaler solutions with their goals</li> </ul> What We're Looking for (Minimum Qualifications) <ul> <li>10+ years of full-cycle sales experience within software or security industry</li> <li>Bachelor's degree or equivalent experience</li> <li>Progressive selling experience engaging with accounts and selling at C-Level</li> </ul> What Will Make You Stand Out (Preferred Qualifications) <ul> <li>You have established relationships with current and prospective customers</li> <li>Proficiency in strategic sales planning with experience closing net new logos</li> <li>Experience meeting or achieving sales targets and using channel partnerships and willingness to travel up to 50%</li> </ul> &nbsp;#LI-Remote #LI-WF1</div><div class="job__pay-ranges"><div class="pay-range"><div class="description"><div class="body">Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.</div></div>Base Pay Range$131,250 - $187,500 USD</div></div><div>At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: <div class="has-nudge" data-nudge-id="5eb9419b-6a4d-4451-bfa6-e2eb96084be0"> <ul> <li>Various health plans</li> <li>Time off plans for vacation and sick time</li> <li>Parental leave options</li> <li>Retirement options</li> <li>Education reimbursement</li> <li>In-office perks, and more!</li> </ul> </div> By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf">Know Your Rights: Workplace Discrimination is Illegal </a>link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.</div></div>

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