<p><p><b>About Signify :</b></p><p><br/></p><p>Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet : lighting.
</p><p><br/></p><p>Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.</p><p><br/></p><p>At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals.
Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.</p><p><br/></p><p>Join us, and together, well transform our industry, making a lasting difference for brighter lives and a better world.
You light the way.</p><p><b><br/></b></p><p><b>More About The Role :</b></p><p><br/></p><p>We're looking for a Data Scientist to work on Deep learning, machine learning, data mining, and statistical modeling for providing predictive and prescriptive enterprise analytics.
Successful candidates will be expected to guide a</p><p>team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (e.g. Finance, Sales, Marketing, Supply Chain, etc.).
Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical/machine-learning/Deep Learning/Gen AI models in support of on-demand, real-time analytic services.
The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders.</p><p><br/></p><p>You'll be part of the Signifys Enterprise Data & Analytics team, based in About You :</b></p><p><br/></p><p>- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field<br/><br/></p><p>- 4+ years of hands-on experience in data science or a related field with demonstrated history of delivering analytics models and solutions<br/><br/></p><p>- Strong programming skills in Python, PySpark or other statistical programming languages<br/><br/></p><p>- Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP) and computer vision techniques<br/><br/></p><p>- Experience with popular deep learning frameworks such as TensorFlow and PyTorch<br/><br/></p><p>- Research and explore the latest advancements in generative AI, including techniques like natural language processing (NLP), computer vision, and machine learning<br/><br/></p><p>- Develop and implement generative AI models and algorithms to address specific business challenges<br/><br/></p><p>- Train and fine-tune generative AI models using large datasets and industry-specific knowledge to improve accuracy and efficiency<br/><br/></p><p>- Knowledge of cloud platforms like AWS, GCP, or Azure<br/><br/></p><p>- Strong problem-solving skills, communication skills and the ability to think creatively and strategically with a focus on business well do for you :</b></p><p><br/></p><p>- Opportunity to work on some of the highly complex and challenging business problems across a variety of functional and business domains.<br/><br/></p><p>- Competitive salary depending on experience.<br/><br/></p><p>- Extensive set of tools to drive your career, such as a personalized learning platform, training and coaching</p><p><br/></p><p>You can grow a lasting career here.
Well encourage you, support you, and challenge you.
Well help you learn and progress in a way thats right for you, with coaching and mentoring along the way.
Well listen to you too, because we see and value every one of our 30,000+ people.</p><p><br/></p><p>We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas.
With a global workforce representing 99 nationalities, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.</p><br/></p> (ref:hirist.tech)