InnoWave is looking for a talented and analytical Data Scientist with 2–3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, machine learning, and statistical modeling, and will be passionate about transforming data into actionable insights to support decision-making across projects. Responsibilities Analyze large and complex datasets to identify trends, patterns, and actionable insights Design, develop, and implement machine learning models to solve business problems Collaborate with cross-functional teams to understand business objectives and data needs Present analytical findings and model results clearly to both technical and non-technical stakeholders Create data visualizations and dashboards to communicate insights effectively Develop and maintain robust data pipelines and data wrangling scripts Monitor model performance and continuously improve algorithms Stay updated with the latest advancements in data science and machine learning Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–3 years of hands-on experience in a data science or analytics role Strong proficiency in Python or R for data analysis and modeling Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistical techniques and their real-world applications Experience with SQL and working with relational databases Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn Excellent problem-solving skills and attention to detail Strong communication and collaboration skills
InnoWave is looking for a talented and analytical Data Scientist with 2–3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, machine learning, and statistical modeling, and will be passionate about transforming data into actionable insights to support decision-making across projects. Responsibilities Analyze large and complex datasets to identify trends, patterns, and actionable insights Design, develop, and implement machine learning models to solve business problems Collaborate with cross-functional teams to understand business objectives and data needs Present analytical findings and model results clearly to both technical and non-technical stakeholders Create data visualizations and dashboards to communicate insights effectively Develop and maintain robust data pipelines and data wrangling scripts Monitor model performance and continuously improve algorithms Stay updated with the latest advancements in data science and machine learning Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–3 years of hands-on experience in a data science or analytics role Strong proficiency in Python or R for data analysis and modeling Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistical techniques and their real-world applications Experience with SQL and working with relational databases Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn Excellent problem-solving skills and attention to detail Strong communication and collaboration skills
As a member of our SRE / Platform Engineering team, you will design and maintain observability solutions focused on Splunk, ensuring critical systems are monitored and issues detected early. You will onboard data sources, build searches and dashboards, and help automate observability workflows across cloud-native and hybrid environments. Responsibilities Install and configure Splunk Universal Forwarders and manage basic configuration files (inputs.conf, props.conf, transforms.conf) to onboard logs, metrics, and traces. Develop and maintain SPL searches, dashboards, and alerts that provide actionable insights to engineering and operations teams. Monitor Splunk platform health, index growth, and license usage; assist with routine upgrades and patching. Write simple automation scripts (Python, Bash, or PowerShell) or CI/CD jobs to streamline data onboarding and alert verification. Collaborate with DevOps, SRE, and application teams to understand monitoring requirements and continuously improve observability coverage. Stay current with emerging observability tools and practices; contribute to evaluations of technologies such as Dynatrace, Datadog, OpenTelemetry, and Grafana. Qualifications 1–3 years of hands‑on experience with Splunk Enterprise or Splunk Cloud in production or lab environments. Proficiency in crafting basic SPL queries, dashboards, and alerts. Familiarity with Linux command‑line, networking fundamentals, and at least one public cloud (AWS, Azure, or GCP) or container runtime (Docker/Kubernetes). Scripting knowledge in Python, Bash, or PowerShell. Strong analytical and troubleshooting skills, plus a desire to learn and grow.
We are looking for a highly motivated and detail-oriented Senior Software Development Engineer in Test (SDET) with strong experience in Python to join our QA team. The ideal candidate will bring expertise in test automation, leadership capabilities, and a background in OTT platforms and Set-Top Box (STB) testing. You will work closely with developers, DevOps engineers, and product managers to ensure high-quality software delivery in a fast-paced environment. Responsibilities: Design, develop, and maintain scalable and robust automation frameworks using Python. Lead and mentor a team of SDETs or QA engineers, ensuring test strategy alignment and efficient task execution. Collaborate with developers and DevOps teams to integrate test automation into the CI/CD pipeline using Jenkins. Create, execute, and maintain test cases for functional, regression, and performance testing. Drive automation best practices and ensure test coverage for OTT and STB-based applications. Analyze test results, isolate defects, and ensure resolution through to production. Participate in requirements and design reviews to ensure testability and quality of the software. Report on test metrics, identify quality risks, and communicate effectively with stakeholders. Qualifications: Bachelor’s degree in Computer Science, Engineering, or related discipline. 3–5 years of hands-on experience in software testing and test automation. Strong programming skills in Python with proven experience in automation frameworks. Experience with CI/CD tools like Jenkins. Good understanding of testing methodologies, QA lifecycle, and bug tracking tools (e.g., JIRA). Prior experience in OTT platforms and Set-Top Box (STB) testing is highly preferred. Exposure to test frameworks such as PyTest or Robot Framework is an advantage. Familiarity with REST API testing and tools such as Postman or similar. Excellent communication skills – both verbal and written. Demonstrated team leadership experience or mentoring skills.