Data Scientist Job Description template and pdf with duties [2024]

Job summary 1

We are currently sourcing for a Data Scientist. This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, Call Center, and others across multiple business units and teams to define and develop AI-based solutions. Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation. The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment. As a Data Scientist, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products, and will take the organization to the next level.

Duties & Responsibilities 1

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Manage and guide data science and data engineering elements of AI projects
Set a strategic direction for data identification, collection and qualification activities
Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions
Develop best practices for data science, considering the full analytical lifecycle
- Develop guidelines for the evaluation of new analytical tools and platforms
- Implement new technologies in a production environment with product, IT, and data engineering teams
- Present reports and findings to senior level technical and non-technical audiences

Requirements & Skills 1

PhD in Computer Science with extensive research papers on Virtual Assistant/Natural Language Processing, OR Master’s Degree in Computer Science, Statistics, Data Science or similar technical discipline with at least 5 years relevant professional experience
Deep understanding of Machine Learning & Deep Learning algorithms
Knowledge of most of the following quantitative fields: Natural Language Processing, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment
- Statistical and data science programming skills, such as Python and R
- Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr
- Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred

Job summary 2

The Data Scientist will work closely with the VP and the Quantitative Analytics Manager to implement advanced analytical models and other data-driven solutions.

Duties & Responsibilities 2

Requirements & Skills 2

Job summary 3

This position is responsible for aiding operational areas of the organization leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making.

Duties & Responsibilities 3

Uncover and operationalize underlying structure and relationships within the data utilizing supervised and unsupervised machine learning techniques.
Educate and demystify analytical models to business users. Develop presentations and trainings for business users to increase understanding of statistics and implementation of models.
Analyze, interpret, and summarize analytical model’s results. Participates in the interpretation and context of complex business reports. Runs what-if simulations based on varying factors and assumptions. Identifies exceptions, positive and negative trends and measures that are out of tolerance with established limits and ranges. Identifies potential concerns based on projections of current trends. Performs statistical and financial analysis of data.
Adept with using large data sets to find opportunities for product and process optimization and models to test the effectiveness of different courses of action with a a proven ability to drive business results with databased insights.
- Identifies and acts upon opportunities for continuous improvement. Encourages prudent risk-taking, exploration of alternative approaches, and organizational learning. Demonstrates personal commitment to change through actions and words. Supports others in embracing change through times of stress and uncertainty.
- Translates up to date information into continuous improvement activities that enhances performance. Gathers and analyzes information or data on current and future trends of best practice. Seeks information on issues impacting the progress of organizational and process issues.
- Demonstrates excellent time management skills with the ability to work independently. Prioritizes daily tasks and workflow and is able to multi-task. Completes department and individual job-related goals on time and with quality results.

Requirements & Skills 3

Experience:Three years to five years of similar or related experience in designing, developing, and implementing Data Science solutions.
Education: Masters of science in information technology, computer science, statistics, or related degree preferred. Equivalent to a college degree and a professional certificate or a graduate degree. Bachelors of Science degree in information technology, computer science, statistics, or related business degree with equivalent experience of 3 years.
Interpersonal Skills:The ability to motivate or influence others is a material part of the job, requiring a significant level of diplomacy and trust. Obtaining cooperation (internally and/or externally) is an important part of the job and a high level of interpersonal skills are critical to the success of this position. Work frequently involves contacts requiring considerable discussion of problems, material presentations, and resolving issues impacting departments or divisions.
- Other Skills:Prior experience developing business analytical solutions in large or midsize companies with the ability to manage multiple tasks simultaneously and react to problems quickly. Must have programming experience with 4th generation and 3rd generation computer languages such as Python and R, development experience with relational database structures, multi-dimensional database, and data warehouse design architecture, as well as experience with dashboard design and delivery. Must possess strong SQL abilities. Experience with data mining models and ensemble model approaches or techniques. Experience with both Oracle and Microsoft desired. Must be highly productive, self-managed, resourceful, and dependable. Should possess a strong eye for detail and accuracy, strong research, strategic, and critical thinking ability. Must have excellent verbal and written communication skills and the ability to motivate or influence others using diplomacy and good judgment.
- Physical Requirements: Some lifting required (up to 30 pounds), continuous sitting, occasional standing and occasional walking. Finger dexterity while using computer. Occasional talking and hearing in person and on the telephone. Continuous clarity of vision at 20 inches or less and continuous clarity of vision at 20 feet or more.
- Work Environment:This job is an exempt position that requires flexibility in scheduling tasks and projects. The employee must independently monitor hours and judge the time needed to be spent on applicable duties. Employee must be capable of adjusting to unpredictable schedules proactively.

Job summary 4

We are seeking smart, curious, technically savvy candidates to join our cutting-edge data science team. We hire the best and brightest and give them the opportunity to work on industry-leading technologies. In this role, you'll have the opportunity to come up with new ideas and solutions that will lead to improvement of our ability to target the right audience, derive insights and provide better measurement methodology for marketing campaigns. You'll access our core data asset and machine learning infrastructure to power your ideas.

Duties & Responsibilities 4

Support all clients model building needs, including maintaining and improving current modeling/scoring methodology and processes.
Provide innovative solutions to customized modeling/scoring/targeting with appropriate ML/statistical tools.
- Provide analytical/statistical support such as marketing test design, projection, campaign measurement, market insights to clients and stakeholders.
- Mine large consumer datasets in the cloud environment to support ad hoc business and statistical analysis.
- Communicate the methodologies and the results to the management, clients and none technical stakeholders.

Requirements & Skills 4

Advanced degree in Statistics/Mathematics/Computer Science/Economics or other fields that requires advanced training in data analytics.
Being able to apply basic statistical/ML concepts and reasoning to address and solve business problems such as targeting, test design, KPI projection and performance measurement.
Entrepreneurial, highly self-motivated, collaborative, keen attention to detail, willingness and capable learn quickly, and ability to effectively prioritize and execute tasks in a high pressure environment.
Being flexible to accept different task assignments and able to work on a tight time schedule.
Excellent command of one or more programming languages; preferably Python, SAS or R
- Familiar with one of the database technologies such as PostgreSQL, MySQL, can write basic SQL queries
- Great communication skills (verbal, written and presentation)
- Familiarity with data manipulation and cleaning routines and techniques.

Job summary 5

Our Company is seeking a Data Scientist with focus on Artifical Intellenge/Machine Learning to help build solutions for our customers that enable them to extract value from their data.

Duties & Responsibilities 5

Drive the development of AI/ML solutions
Assist the team in identifying, building and optimizing machine learning algorithms and models (e.g. annotations, entity recognition and custom classifier models)
Assist with defining and driving AI strategies

Requirements & Skills 5

Bachelor’s or Master’s degree in Data Science or Artificial Intelligence & Machine Learning (strongly preferred); Bachelor’s or Master’s degree in Applied Mathematics or computer science
Overall experience for 3-5 years in the AI/ML/NLP domain
Hands on experience developing supervised models
Hands on experience in at least one of the programming languages – Python, R, Java or C
Hands on experience in working with databases
- Exposure to cloud technologies and general knowledge of at least one cloud platform provider (e.g. AWS, Azure or Google)
- Experience in MLOps
- Experience in working with ML tools such as AWS Comprehend, Sagemaker, Google MuppetSuite

Job summary 6

We are seeking a Data Scientist. As a part of the Team, you will work with experts that develop systems and solutions to keep our world safe. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work, and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they’re making history. Join us and launch your career.

Duties & Responsibilities 6

Develop and implement artificial intelligence and machine learning models to solve complex data problems
Interpret large amounts of data using advanced visualization techniques and tools
Merge and transform big datasets to ensure data integrity and usability
Develop a process to maintain quality and performance of statistical models and quickly identify enhancements opportunities
Communicate advanced concepts and information in an understandable manner for audiences of varying levels of competency
Maintain an up-to-date knowledge of technology trends
- Properly document code, artifact description, implementation, and use cases
- Be an eager and fast learner
- Work on a fast pasted collaborative team in an agile environme

Requirements & Skills 6

Minimum of a Bachelor of Science in Data Science, Computer Science, Physics, Statistics, Mathematics, or related quantitative field
Minimum 2 years of relevant experience with a bachelor’s degree; or 0 years with a Master’s
- Demonstrated experience with Programming in Python, R, or Node.js
- Demonstrated experience manipulating dataframes through SQL, pandas, or tidyverse
- Familiarity with Graph, NoSQL, Hadoop, SMACK, or Neo4J/OWL

Job summary 7

We are looking to hire an analytic & insights Data Scientist to partner with the core product team. As a critical member of our team, this role will have the rare opportunity to influence decision-making with their insights and thought leadership.

Duties & Responsibilities 7

In addition to delivering insights on existing Product & Tech initiatives, you will come up with creative product growth opportunities based on insights, and build momentum through influence.You would have to strike a balance between critical thinking and actual hands-on analyses using tools & packages such as SQL, R, Python, Tableau etc.

Requirements & Skills 7

Require the minimum of a bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Business Administration or Business Analytics.
Ability to present complex analyses and insights effectively in simple terms
Good experience with both descriptive and inferential statistics – ability to build basic prototype models
Experience in a leading technology company
- Background in ecommerce product experience
- Master’s degree is a plus.
- Experience with site experimentation (A/B testing) is a plus

Job summary 8

We are looking for a Data Scientist to help us boldly innovate through data. You should be curious by design, think of yourself as a data artist and storyteller, have an ownership, solution and action mindset, can impact the cross functional team that moves fast with intent and purpose.

Duties & Responsibilities 8

Build data products that solve hard problems and reveal opportunity through creative sourcing, model development and visualization.

Requirements & Skills 8

Four or more years of experience in a Data Science role
Experience with creation of visual data displays.
Expert in Python; R; Scala
- Credentials in machine learning, AI, probabilities, statistical inference and linear models
- Familiarity with Unix shell scripting
- Visualization to tell a story and explain a point

Job summary 9

We are seeking a talented Data Scientist to help us evolve our processes and to improve customer experience across the globe. As a Data Scientist, you will work directly with Research Scientists and Software Development Engineers. There are no walls, and success is determined by your ability to dive deep, and understand the subtle demands new and complex services will place upon systems and teams.

Duties & Responsibilities 9

Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful
Deep dive on the problems using SQL and scripting language like R, Python and internal dashboards and drive short term and long term solutions
Analyze data (past customer behavior, sales inputs, and other sources) to figure out trends, and output reports with clear recommendations.
- Collaborate closely with the development team to recommend innovations based on data analysis
- Apply Statistical and Machine Learning methods to specific business problems and data
- Collaborate in a fast paced environment with multiple teams and customers in a dynamic entrepreneurial organization

Requirements & Skills 9

Job summary 10

The successful candidate will possess a diverse range of data-focused skills and experience, both technical and analytical. They will have a strong desire and capability for problem solving, data analysis and troubleshooting, analytical thinking, and experimentation.

Duties & Responsibilities 10

Working with large, complex, and disparate data sets
Designing and implementing innovative ways to analyze and exploit the Sponsors data holdings
- Solving difficult, non-routine problems by applying advanced analytical methodologies, and improving analytic methodologies
- Developing custom searches
- Communicating and coordinating with internal and external partners as needed

Requirements & Skills 10

Ability to code or script in one or more general programming language
Experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
- Knowledge of relational databases, including SQL and large-scale distributed systems (e.g. Hadoop)
- Expertise with statistical data analysis (e.g. linear models, multivariate analysis, stochastic models, sampling methods)
- Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties

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