Ph3Responsibilities /h3 pAs a Data Scientist, you will play a pivotal role in contributing to the development and implementation of AI models and algorithms to address complex business challenges. Your key responsibilities will include: /p ul liTaking ownership of data science initiatives and projects, demonstrating a proactive and results-driven approach. /li liAnalyzing and interpreting complex datasets to extract meaningful insights and providing data-driven recommendations. /li liCollaborating seamlessly with multidisciplinary teams to comprehend business needs, designing, and implementing statistical models and machine learning algorithms. /li liLeveraging big data technologies and distributed computing frameworks for processing and analyzing large volumes of data, or equivalent cloud computing expertise. /li liDeveloping and deploying predictive models and algorithms in real-world production environments. /li liConducting comprehensive exploratory data analysis, feature engineering, and model validation. /li liEffectively communicating findings and insights to both technical and non-technical stakeholders. /li liEmbracing a data-driven, solution-oriented, and critical mindset, fostering teamwork and collaboration. /li /ul h3Profile /h3 ul li2 or more years of experience in data science roles with a focus on statistical modeling, machine learning, and predictive analytics. /li liProficiency in programming languages, including SQL, Python, and distributed/cloud processing framework such as Pyspark. /li liExhibit familiarity with advanced analytics libraries/frameworks such as Tensorflow, Keras, PyTorch, Scikit-learn. /li liRobust understanding of statistical analysis, hypothesis testing, and various machine learning techniques. /li liHands-on experience with data visualization tools and libraries such as Seaborn, Matplotlib, or Plotly. /li liProven ability to work with large datasets and experience in distributed computing frameworks, either on-premises or in the cloud. /li liExcellent communication skills, enabling effective collaboration within cross-functional teams. /li liAnalytical mindset, attention to detail, and strong problem-solving skills for addressing complex data challenges. /li liHold a solid academic foundation in a relevant discipline, such as Engineering, Data AI, or Computer Sciences. /li liFamiliarity with cloud platforms (Azure, GCP, AWS is a plus) /li liMandatory fluency in English. /li /ul h3What You’ll Love About Working Here /h3 ul liJoin a multicultural and inclusive team environment. /li liEnjoy a supportive atmosphere promoting work-life balance. /li liEngage in exciting national and international projects. /li liHybrid work. /li liYour career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities. /li liTraining and certifications programs. /li liReferral program with bonuses for talent recommendations. /li liGreat office locations. /li /ul h3About Capgemini /h3 pChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. /p pApply now! /p /p #J-18808-Ljbffr