Sr Data Scientist - Dynamic Enterprise Solutions Inc

Description:Job Description: The successful Data Scientist/Engineer will translate business needs into analytic questions; conduct data exploration and model specification; mange data flows and ETL operations; visualize data into dashboards; design and perform analyses of operational, transactional, and log data; and translate these analytic findings into leading information and metrics for our business partners. The chosen candidate would be able to take on responsibilities spanning multiple disciplines across data engineering, data science and analytics programming.Responsibilities:Consult with internal and external stakeholders to determine how best to apply analytical solutions that support business objectivesWork closely with product managers, analysts, and other stakeholders to provide reliable data deliverablesBuild and maintain scalable data pipelines. Develop, optimize, and manage ETL processes for structured and unstructured dataEnsure data accuracy, integrity, and security across various platformsImplement data quality checks and monitor pipeline performanceCollaborate in cloud environments (e.g., AWS, Cloudera, Dataiku, etc.) and with big data technologies (e.g., Spark, Hadoop)Demonstrate a basic knowledge of data science related concepts (i.e. predictive analytics, unsupervised learning, machine learning, deep learning) and how to use them for solving real world problemsAdhere to agile project management frameworks and set the direction of data science initiativesEffectively communicate technical concepts to a non-analytic audienceQualifications:Bachelor s degree in Computer Science, Data Analytics, Engineering, Mathematics, Economics, or related field with ?3 years of relevant professional work experience with an outstanding track recordProficiency in Python and SQL is required. Knowledge of R programming is a plus.Practical experience with data science techniques and toolkits, including times series forecasting, machine learning, deep learning, and LLMsFamiliarity with navigating in both a relational (Teradata-based) and non-relational (Hadoop) environment. Knowledge of Java/Scala/Apache Spark is a bonusPracticed in exploratory data analysis (EDA) and manipulating large data setsGood interpersonal skills and ability to present technical concepts to business stakeholdersStrong analytical and problem-solving skillsSelf-starter and intellectually curious with a strong desire to improve business processes through innovationMotivated to gain the full business understanding behind each analytical requestWhat are the top 3-5 skills requirements should this person have?Proficiency in SQL and Python programming. R programming is a plusAbility to work with big data and practiced in exploratory data analysisStrong experience as a data engineerKnowledge of statistical methods, machine learning, natural language processingGood communicator. Good presentation skillsEmployers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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