Hello *Associate*, Hope you are doing well We have below requirement open. Please send me your genuine candidate on my email ID *ifthek...@canopyone.com <ifthek...@canopyone.com>*
*Position: Data Analysts * *Location: Philadelphia (ONSITE only)* *Type: Contract* *FOCUS MORE ON SCALA* *Looking for Ex comcast resumes here* *Share skill metrics against these :* - Big Data(Spark,Scala) - Cloud Technologies - AWS S3, AWS Athena - SQL - Hive,Teradata,Spark SQL - Databricks - Python - DQ - Apply advanced statistical analysis, machine learning, and data mining techniques to derive actionable insights from complex datasets. - Develop and implement predictive, prescriptive and inferential models to solve business challenges and drive decision-making processes. - Must be good with collaborating with technical and non-technical stakeholders to effectively understand the business challenge, use case and structure the discussion in succinct format for driving next steps. - Collaborate with domain experts to understand business requirements and translate them into data-driven solutions. - Communicate complex technical concepts and analytical findings effectively to both technical and non-technical stakeholders. - Create visually compelling presentations, reports, and dashboards to convey insights and recommendations. - Lead workshops, meetings, and discussions to drive alignment and understanding across teams. - Provide strategic guidance and contribute to the development of data-driven strategies within the organization. *Qualifications:* - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. - Proven experience (6+ years) as a data engineer and data scientist, preferably in a fast-paced technology or analytics-driven environment. - Experience in leveraging Graph data science concepts to solve business use cases a must. - Strong proficiency in data engineering tools and languages (e.g., SQL, Python, Scala, ETL frameworks, data warehousing). - Comfortable and experienced working in Databricks, Spark environment. - Extensive experience with machine learning frameworks (e.g., TensorFlow, H2O) and data science libraries (e.g., SparkML). - Ability to develop visualizations, as necessary to present insights, metrics and how this informs addressing the business challenge. - Excellent presentation and communication skills, with the ability to convey technical concepts to non-technical audiences. - Experience in a networking or communications domain is a plus. - Experience interacting with other technical and non-technical stakeholders to collaborate on efforts like solutioning, understanding other data domains in order to source data is a must. *Thanks & Regards* *Mohammed Ifthekharuddin* Tel: 703-831-8282 Ext 223 Cell: 323-825-5662 Email: ifthek...@canopyone.com Web: www.canopyone.com <http://canopyone.com/> -- You received this message because you are subscribed to "rtc-linux". Membership options at http://groups.google.com/group/rtc-linux . Please read http://groups.google.com/group/rtc-linux/web/checklist before submitting a driver. --- You received this message because you are subscribed to the Google Groups "rtc-linux" group. To unsubscribe from this group and stop receiving emails from it, send an email to rtc-linux+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/rtc-linux/CAHa9xHBeuCj5OTMrQ7W7h6Dg32mUcoSboVs8VpUNwVdptWVq9w%40mail.gmail.com.