Data Science Consultant Jobs

We offer excellent benefits (health, dental, vision, flexplan, 401k).

ResponsibilitiesManaging a client load of 10-15 schools, serving as the primary point of contact regarding:

Federal/State/county/district data reporting requirements, deadlines, and processes

Researching and developing (where applicable) new processes, compliance reporting requirements, and technical solutions

Qualifications:A strong client-service orientation, responding efficiently and effectively to client requests

Ability to set priorities and manage multiple projects while meeting customer expectations

Develop a logical story combining data and industry knowledge to share actionable insights that will drive our clients' businesses

Liaise daily with clients to develop a deep understanding of their business context and experience

0-2 years of experience in Data Analysis / Modeling / Advanced Analytics

Experience with statistical software such as R or Python (preferred).

Consulting experience or interest in working as a consultant

Exceptional written and oral communication skills

Mentor members of the team, sharing expertise, experience, and knowledge to help grow their applied skills

We offer a competitive benefits package, click

Helps with client education and rollout, to gain buy-in for the value of the behavioral science approaches

3 – 5 years of applied behavioral science experience

Experience using behavioral science principles and best practices and methodologies to develop strategic plans and uncover behavioral insights

Detailed and fluent knowledge of behavioral science and key concepts and theories

Proven track record of strong analytical skills, oral communication, and client management

Support management and leadership in buy-side and sell-side transaction advisory efforts

Support management and leadership in developing strategic recommendations and business development opportunities

Interest in BD&L / transaction advisory

Gather user community requirements and convey the same to Data Archiving technical team.

Using the source to destination mappings, test the source data against the requirements of the destination system.

Define the source to target high-level mappings for each category of data.

Test source and target system connections from the migration platform.

Prepare Data Migration User Acceptance Testing plan and work with users to get acceptance for go-live.

Work on EPAM’s Data Science and AI offerings

5+ years’ experience as Data Science Lead, Machine Learning Engineering Lead or similar roles

Hands-on Data Science experience, focused experience in one of the following domains: computer vision, NLP, recommender systems, time series analytics

Experience in Supervised and Unsupervised Learning

Machine Learning Engineering/ Production delivery experience, MLOps. Experience working with one or more major cloud providers

Work with EPAM’s clients and EPAM teams to shape-up AI/ML driven solutions’ technology vision

1-2 years of experience in product management role

Familiarity with building internal project management documentation and tracking towards delivery

Gather business requirements and work with leadership to translate them into actionable processes, technology work flows, and decision science solutions

1-2 years of experience and proficiency in Python, SQL (or similar programming languages) and data visualization (Tableau, PowerBI, etc.)

Demonstrated excellent written and verbal communication skills

Knowledge of basic database structure

Experience in analytical product management

Experience with the fields of travel and hospitality, revenue management, pricing, personalization, or digital marketing

Experience with data manipulation and model development/implementation within Python

Experience acquiring, organizing, cleansing and manipulating large amounts of data using SQL

Experience with statistical methods, forecasting, segmentation, modeling, or machine learning

Ability to document business processes, determine functional requirements, and turn them into technical specifications

Proven programming skills in particular R / SQL and Python, strong experience with DL frameworks such as TensorFlow, Theano and others

Provide design input specifications, requirements and guidance to software engineers for algorithm implementation for solution/product development

Bachelor's/Master's Degree and minimum 6 years of professional experience is required

Deep understanding of statistics and experience with machine learning algorithms/techniques

Scientific expertise and real-world experience in deep learning (convolutional neura networks, restricted Boltzmann machines, and deep neural networks)

Experience in applying machine learning techniques to real-world problems in a production environment

Experience, Education And Specialized Knowledge And Skills

Interface with Informatics team to optimize data processing, storage, and study management.

Manage translational research studies in a matrixed environment.

Experience using data informatics tools would be helpful, including electronic notebook systems, databases.

Knowledge of programming languages such as R would be helpful, but not required.

BS/BA or MS/MA in neuroscience, pharmacology, biomedical science or related scientific discipline with 2+ years of relevant experience.

Manage primary research by speaking to physicians and clinicians across multiple geographies [10%]

Manage robust secondary research, synthesizing coherent key points from in-depth scientific papers [5%]

Rapidly develop an understanding of: [20%]

Disease pathologies including their physiological and immunological implications

Structure, composition, function and Physic-chemical properties of drugs, medical devices, and therapies including process conditions and quality control

Apply and adapt these understandings during primary research with clinical experts to drive towards key insights e.g., potential clinical implications [5%]