Alvarez & Marsal

Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras. Experience with BI tools (Tableau, Power BI, Looker). Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, Snowflake, Kafka. Good understanding of modeling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai). Knowledge of web frameworks to build web applications (R Shiny, Dash)

data science analyst

Description Data Science – Analyst Job Description Summary A&MPLIFY is a professional service consultancy combining the power of design, digital technology, and artificial intelligence to help clients supercharge value creation, agility and customer loyalty. The A&MPLIFY team is hand-picked from the top global consulting firms and Fortune 500 customer-focused companies. Individually, we are experience designers, commerce strategists, technologists, data scientists, and operations leaders with deep industry experience. Together we are the unique team clients need to drive growth and build relevance with their customers. With a commitment to positive social impact, we foster a vibrant, inclusive workplace of diverse voices and talents who enjoy what they do, and with whom they do it. The Intelligence Analyst sits within our Data Science & Analytics community of practice. This is a hybrid role spanning remote, client, and in-office work locations and requires occasional travel. Job Description Work in a collaborative environment with teams across A&M and within Digital to drive clients’ Digital Transformation in a broad range of industries via scalable Analytics and AI / ML solutions which solve business problems and create value by leveraging client and external data. <ul><li>Participate in client discussions, interact with client organization to articulate the value of data science approaches, different AI service offerings and guide them on implementation of the same. </li><li>Quickly understand client needs, scope of work effort, assemble teams, manage delivery, and articulate findings to client executives</li><li>Review and analyze developed models for complete, robustness and alignment to client needs </li></ul>Qualifications <ul><li>0-3 years professional work experience as a data scientist or on advanced analytics / statistics projects.</li><li>Strong mathematics / econometric / statistical skills, bachelor’s degree in related field</li><li>Ability to design databases and run mathematical models in the database to calculate relationship strengths</li><li>Excellent team-oriented and interpersonal skills, with a strong interest in consulting</li><li>Outstanding communication skills with the ability to clearly articulate findings and present solutions to business partners and customers</li><li>Ability to analyze information and identify second-order implications to policy, processes, communications and training</li><li>Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras</li><li>Experience with BI tools (Tableau, Power BI, Looker) </li></ul>Preferred Qualifications <ul><li>Experience working in a consultative capacity with internal or external clients.</li><li>Experience with building and deploying predictive and prescriptive analytics model</li><li>Experience designing and implementing organizational or programmatic performance measurement strategies</li><li>Experience in building intelligent apps and custom analytics platforms</li><li>Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, Snowflake, Kafka</li><li>Graph Theory work, potentially Neo4J, TigerGraph, Neptune</li><li>Good understanding of modeling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai)</li><li>Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud</li><li>Experience with Cognitive Analytics including NLP / NLG, Computer Vision, Sentiment analysis</li><li>Knowledge of web frameworks to build web applications (R Shiny, Dash)</li><li>Knowledge of other coding languages such as Java, Matlab, SAS, C++ </li></ul>Diversity & Inclusion A&M’s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M’s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are the main reasons our people love working at A&M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&M way. Equal Opportunity Employer It is Alvarez & Marsal’s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&M policy statements and additional information by region here. Unsolicited Resumes from Third-Party Recruiters Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our Inclusive Diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

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