Social Media Specialist

Job Description • Help plan and roll out the social media calendar aligned with campaigns, launches, and events. • Boost engaging content posts, reels, carousels, and videos that bring our brand’s voice to life.• Translate complex tech ideas into clear, catchy, and easy-to-digest stories.• Track social performance and share insights to improve engagement and visibility.• Participate in team brainstorming sessions to bring bold, creative ideas to the table.• Stay up-to-date with trends in AI, tech, and social media to keep our content fresh and relevant. Requirements • Have at least 2 years of experience in social media, content creation, or digital marketing (internships not counted).• Understand how to blend storytelling, design, and strategy for professional audiences.• Can make B2B content feel human, interesting, and shareable.• Ready for experimenting with new formats, tools, and ideas.• Are curious about (even the less exciting sides of) AI, data, tech, and innovation.• Are a team player who’s open to learning, feedback, and collaboration. Benefits • Be part of a creative marketing team shaping how AI and data stories are told. • Learn directly from industry experts who value creativity and curiosity. • Get space to explore, experiment, and grow your skills. • Work in a culture where tech meets creativity and new ideas always have a voice. • If you’ve been waiting for a place to prove your creative spark, DataCouch is that place. Requirements Educational Background: Bachelor's and Master’s degrees in Data Science, Computer Science, Statistics, or a related field. Technical Skills: Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch). Strong understanding of all complex machine learning algorithms not limited to decision trees, random forests, and gradient boosting machines. Competence in data preprocessing, cleaning, and analysis. Familiarity with data cleaning, transformation, and preprocessing techniques. Experience with SQL and possibly some NoSQL databases for data querying and manipulation. Basic knowledge of data visualization tools like Matplotlib and Seaborn. Strong skills in SQL for data extraction, and the ability to work with complex database systems. Advanced knowledge of analytical tools and software such as Excel, Tableau, or more specialized software depending on the industry (e.g., SAS, SPSS). Experience with data visualization and the ability to create interactive dashboards. Vast knowledge of NLP, Deep Learning, Machine Learning , Knowledge of genAI with implementation knowledge (LLM, fine tuning RAG implementation) and many more. Familiarity with cloud services (AWS, Azure, Google Cloud) for data processing and storage.. Professional Experience: 2-3 years of experience in a data science or related role. Proven track record of developing and deploying machine learning models to solve business problems. Experience in projects that involve complex data structures and large-scale datasets. Exposure to model validation and implementation in a production environment. Demonstrated experience in analyzing large datasets and delivering actionable insights. Proven track record of effectively communicating findings to help inform business decisions. Experience in performing statistical analysis, forecasting, and establishing data structures that optimize analytical capabilities. Soft Skills: Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach. Good communication skills to effectively articulate insights and technical details to non-technical stakeholders. Ability to work collaboratively in team settings and manage project timelines effectively. Strong attention to detail with the capability to work on multiple projects simultaneously. Effective communication skills, capable of presenting complex information in an understandable and compelling manner. Collaboration skills to work effectively with both technical teams and business units.