Senior Lead Data Scientist
Data Scientist Job 223 miles from Savannah
Sr. Lead Data Scientist (Mixed Modelling, forecasting and retail industry experience)
Robert Half is in search of a Sr. Data scientist who will have ownership of identifying/understanding the business opportunity that the company data presents and converting them into actionable, integrated, and advanced analytics/predictive solutions. Data scientist will work on creating data-driven applications that solve business problems for the company's customers.
does not offer sponsorship or C2C
hybrid 3 days onsite
Responsibilities
Work with the company and partners to identify Business opportunities/problems and deliver actionable insights/predictive solutions that will result in Business value/growth for the company's customers.
Be at the forefront of research on how machine learning and artificial intelligence capabilities are maturing in the industry and what libraries, tools & technologies company needs to be successful in delivering, scaling, and supporting solutions
Subject matter expert for generating insights from data and machine learning models
Transform data and insights into intuitive & interactive visualizations
Work with contractors to deliver products and services for the company's customers.
Conduct Pilots with the company's customers and measure value
Transition successful pilots into commercial applications
Ensure design and implementation of technologies that comply with security standards and application architecture principles (in alignment with platform architects and respective review boards) and that consider state of the art data and analytics concepts
Review code/solutions developed by team prior to migration to production
What makes you a good fit?
8+ years of experience building Data science solutions
Strong algorithm forecasting experience
Strong experience with mix modules
Retail experience- Food and Beverage industry experience
Background in computer science, statistics, mathematics
Good understanding of data structures, algorithms, and software design
Experience with machine learning and natural language processing
Ability to code in at least one JVM based language (Java, Scala etc.) and at least one scripted language (Python, JavaScript, etc.)
Experience with database design, and SQL
Ability to balance high customer orientation and service attitude with business priorities
Analytic thinking, and problem-solving skills
High energy, with strong will and ambition to learn and work on new things
Outstanding proven verbal, written and interpersonal communication skills
Ability to adapt quickly to changing product scope and priorities (demand driven)
Proven ability to influence and collaborate effectively with cross-functional teams
Demonstrates noticeable commitment to foster and preserve a culture of diversity and inclusion by creating environments where people of diverse backgrounds are excited to bring all of who they are and do their best work
Bachelor's degree (or equivalent)
Senior Actuarial Consultant
Data Scientist Job 223 miles from Savannah
Qualifications-
Experience with Commercial Lines
Strong communication skills
Preference of Pricing experience
Responsibilities-
Engages in crucial pricing discussions with senior executives, serving as a trusted advisor
Fuels profitable growth by establishing competitive prices and crafting innovative products for existing partners and new clients
Engages in crucial pricing discussions with senior executives, serving as a trusted advisor
Data Analyst - Foreign Language Specialist
Data Scientist Job 158 miles from Savannah
Foreign Language Specialist
Do you possess a flair for languages and enjoy coastal living? Join us as a Foreign Language Specialist at the Defense Language Institute in the picturesque Monterey, CA. In this role, you will master your chosen language and immerse yourself in its associated culture. Upon completing the training, exciting travel opportunities await, allowing you to apply your language skills in real-life scenarios.
Requirements:
Attend a 46-week paid training program to gain skills and certifications in foreign language proficiency, cultural immersion, interviewing, intelligence analysis, and intelligence gathering.
Advanced certifications require additional full funded training programs.
Benefits:
Comprehensive Healthcare, Vision, and Dental plans.
30 days paid vacation.
90 days paid paternity and maternity vacation.
Comprehensive wellness programs including fitness facility access, nutrition consulting, curated fitness plans, and more.
Housing, clothing, and relocation allowance.
Tuition assistance.
Student loan repayment.
Flexible retirement and pension plans.
Pay and Promotion:
Entry pay and promotions vary based on education level and qualifications.
Hiring bonus opportunities available.
Specialty bonuses available depending on qualifications and position.
Guaranteed promotion opportunities.
Additional Career Opportunities:
Upon successful completion of first term contract, you are guaranteed up to 5 interviews with your choice 1,200 industry leading organizations including Disney, Tesla, and Coca-Cola.
Similar Career Fields Include: Translator, Intelligence Analyst, Foreign Language Teacher.
About Our Organization:
The U.S. Army offers a variety of possibilities for to discover your true potential - whether you are looking to gain technical expertise, travel the world, or serve your community, the Army's unique career opportunities and comprehensive benefits package will enable you to achieve your goals. Be All You Can Be.
Now Hiring Full and Part Time Positions.
***Click apply for an Interview***
Data Scientist
Data Scientist Job 223 miles from Savannah
At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time.
Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients:
+ Citeline - accelerate the drug development cycle
+ Evaluate - bring the right drugs to market
+ MMIT - identify barrier to patient access
+ Panalgo - turn data into insight faster
+ The Dedham Group - think strategically for specialty therapeutics
By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.
**Job description**
Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making.
Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry.
**Key duties and responsibilities**
In this role as a Data Scientist, you will:
+ Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products
+ Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams
+ Contributes towards the common data science platform
+ Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
**Key requirements**
+ 3+ years of experience developing AI / ML applications and data driven solutions
+ Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
+ Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques
+ Deep understanding of CS fundamentals, computational complexity and algorithm design
+ Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
+ Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries
+ Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems
+ Experience mentoring junior team members
+ Excellent problem solving and communication skills
+ Nice to have
+ M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences.
+ Knowledge of the healthcare domain and experience with applying AI to healthcare data
+ Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake
+ Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs
**Our Guiding Principles at Norstella**
01: Bold, Passionate, Mission-First
We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.
02: Integrity, Truth, Reality
We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.
03: Kindness, Empathy, Grace
We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.
04: Resilience, Mettle, Perseverance
We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.
05: Humility, Gratitude, Learning
We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.
**Benefits:**
Medical and prescription drug benefits
Health savings accounts or flexible spending accounts
Dental plans and vision benefits
Basic life and AD&D Benefits
401k retirement plan
Short- and Long-Term Disability
Education benefits
Paid parental leave
Paid time off
**_*Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.*_**
The expected base salary for this position ranges from $100,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] .
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
Data Scientist, Product Analytics
Data Scientist Job 223 miles from Savannah
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
7. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
8. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$145,000/year to $204,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Medicaid Data Scientist 3
Data Scientist Job 223 miles from Savannah
**The World at Abt** Solving the world's most pressing issues and improving the quality of life for people worldwide is what we do every day at Abt. Advancing data-driven innovations is no small task, but we are driven by big challenges. We are a team of 3,000+ people in over 50 countries working in unison and focused on the bigger picture. Only by sharing our commitment, energy, and innovation do we affect change and push the boundaries of what's possible. We welcome diverse ideas, backgrounds, and viewpoints - joining Abt means access to exceptional thinkers at the top of their game. Abt Global is seeking a data scientist to join its growing team in the Digital and Data Services (DDS) Division. This division plays a key role within Abt providing data science methods, artificial intelligence (AI), and automation tools to a broad range of U.S. government agencies. Much of this work is focused on data modernization and analysis in areas such as healthcare, public health, housing, the environment, and human services.
**The Opportunity**
The Medicaid Data Scientist works with internal colleagues and external clients to answer complex technical questions. They will perform data cleaning and automated scripts, analyze textual and numerical data, and may utilize various tools to deploy generative AI, natural language processing, and machine learning workflows. This specialized Medicaid position will work in the CMS data ecosystem, with much analysis occurring in the CMS Cloud and CMCS's DataConnect environment.
The selected candidate must be experienced in data science methods, with preference given to experience with Python. Experience with TMSIS data or other types of healthcare claims or electronic health record (EHR) data is preferred.
The Medicaid Data Scientist may work on-site in Abt's offices in any of Atlanta, GA, Cambridge, MA, Durham, NC, or Rockville, MD in a hybrid remote/in-person status, or full-time remote from within the US.
**Core Responsibilities**
+ Lead tasks, including organizing work plans and delegating work, with minimal supervision.
+ Develop technical solutions to complex problems through ingenuity and innovation.
+ Collect data from various sources, such as APIs, and perform data management tasks.
+ Support data modernization efforts and develop/improve automated data workflows.
+ Experience with generative AI, natural language processing, and/or machine learning methods.
+ Programming proficiency in Python, SQL, and version control (git) software.
**What We Value**
+ PhD in Health Informatics or similar degree, or Masters + 3 years experience or Bachelors + 5 years experience, OR the equivalent combination of education and experience.
+ Experience working with healthcare claims data, EHR data, or TMSIS data.
+ Must have a current CMS PIV card or the ability to successfully obtain one.
+ CMS experience, or other government or public sector experience strongly preferred.
+ Experience with TMSIS data (Medicaid data) is strongly preferred.
+ Strong writing, presentation, and interpersonal communication skills.
**What We Offer**
We foster an environment where you can Thrive Your Way. Our innovative total rewards programs are designed to help balance your work and personal life. The approach toward your wellbeing centers around comprehensive benefits, flexible schedules, and professional development.
Abt Global is an Affirmative Action/Equal Opportunity employer committed to fostering a diverse workforce. Abt Global provides market-competitive salaries and comprehensive employee benefits. Local candidates strongly encouraged to apply.
This position offers an anticipated annual base salary range of approximately $83,000 to $132,000 and may vary by ten percent depending on candidate geographic location. Salary offers are made based on internal equity and market analysis.
_Disclaimer: Abt Global will never ask candidates for money in exchange for an offer of employment._
\#LI-Remote #LI-Hybrid
Data Scientist
Data Scientist Job 212 miles from Savannah
Black Book's Data Science team works to solve our customer's most pressing challenges by enabling them to harness the power of data for insightful decisions. The position represents an exciting opportunity to be part of a high growth team, driving innovative, and assist in developing next generation data solutions in automotive industry.
In this hand's-on position, the Data Scientist will work very closely with the automotive analytics team and apply knowledge of Data Science to design and develop enterprise analytic solutions which are focused on specific auto industry questions for Black Book customers. The Data Scientist will define best practices in the use of advanced analytics and therefore must possess the ability to understand and document business processes and influence process improvement. The Data Scientist will also incorporate emerging technologies to evaluate new analytic possibilities. The individual filling this role will be expected to hit the ground running on the delivery of advanced analytic solutions. In this role, you will be expected to design and develop proof-of-concept solutions in support of presales activities as well as support the development of standardized analytic offerings across multiple companies.
Main tasks and responsibilities:
Work closely with the automotive analytics team to ensure understanding of automotive data
Defines analytic strategies to meet the demands of business requirements
Defines the technical requirements of the analytic solutions
Defines the data requirements of the analytic solution
Conducts sophisticated analyses and build models, as required
Translates data science results into clear business focused deliverables for decision makers
Leads project plans and works with Application Developers to deploy models into operational systems
Integrates advanced analytics into end-to-end business intelligence solutions and operational business processes
Required Qualifications
3+ years of professional experience and a Master of Science or equivalent degree in applied statistics, mathematics, data science or related area of study
3+ years use of Python for machine learning and large-scale data analysis
3+ years of using machine learning methodologies such as regression, decision trees, time series analysis, NLP,
Expert use of SQL and relational databases
Experience with Hadoop / Spark, Map/Reduce, Hive or equivalent
Excellent communication and presentation skills
Preferred Qualification
Extensive experience working with IT Development teams to implement analytic application/solution development. Refers to the implementation of repeatable analytic solutions which encompass all phases of the software development cycle beyond model development.
Experience in automotive industries
Data Scientist
Data Scientist Job In Georgia
Markesman Group is looking for an experienced Data Scientist to join our team. The Data Scientist will establish and implement mathematical, problem-solving, and coding skills to manage a wide variety of data and extract valuable insights. Data will involve structured and unstructured data from information advantage activities in support of multi-domain operations. Work is performed in a hybrid role with some on-site customer support.
Responsibilities
The data scientist will utilize their expertise in machine learning, statistical data analytics, and predictive analytics to help create and implement data solutions and analytics for diverse Department of Defense (DoD) data sets.
Responsible for the creation of innovative methodologies for extracting key parameters from structured and unstructured data coming from various sensors.
Capable of applying the latest technologies in machine learning, data mining, and predictive analytics to correlate disparate datasets and events, and derive value.
Experience in data mining, natural language processing, and sentiment analysis of social media datasets.
Performs project assignments characterized as highly unstructured and complex, having little definition or clarity.
Systematically design analytical approaches to organizing research into segments and coordinating input from other sources such as subject matter experts from the problem's substantive area.
Defines the nature of the problem or clarifies issues through extensive coordination, research, and data collection.
Renders expert judgment concerning the credibility, responsiveness to directives/objectives, and soundness of models and other analytical techniques.
Prepares reports and briefings that summarize results derived from documentation, assumptions, facts, and approaches.
Demonstrated ability to work well independently with little input, and as a part of a team.
Other duties as assigned.
Work a hybrid schedule with the local Enlighten team members.
Qualifications
A current Secret level U.S. Government clearance is required and therefore all candidates must be a U.S. Citizen. Can also consider candidates with a TS clearance as well.
5 years of Data Science or similar experience with Bachelors in related field; OR 3 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 9 years relevant experience.
Strong familiarity with machine learning, data mining, dimensionality reduction, and related analytics methods (e.g., clustering, sequences, networks, time series, deep learning, regression analysis, time series, probabilistic models, supervised classification and unsupervised learning, statistical analytics, etc.).
Experience with mathematical programming languages such as Python and R and their data science libraries.
Experience with using business intelligence tools (e.g. Jupyter, Tableau, Amazon Sagemaker)
Familiar with scalable distributed data processing, management, and visualization tools.
Strong mathematical background (linear algebra, calculus, probability and statistics).
Must be able to work in a hybrid role with some on-site customer interaction.
Preferred Requirements
Experience with large scale machine learning model generation.
Experience with DoD data types and current DoD Data Strategies.
Data Scientist
Data Scientist Job 218 miles from Savannah
HI,
Hope you're doing well
This is pankaj from 4P Consulting Please see below job description
Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C
A Data Scientist with 5 to 10 years of
experience is responsible for leveraging
data to uncover insights, create predictive
models, and drive data-driven decision-
making within an organization.
This role
involves advanced analytics, machine
learning, and strong problem-solving skills
to extract actionable information from
large datasets. Key Responsibilities: Data
Analysis: Collect, clean, and analyze
complex datasets to identify trends,
patterns, and actionable insights.
Use
statistical techniques to uncover
meaningful information from data.
Predictive Modeling: Develop and deploy
machine learning models to predict future
trends, behaviors, and outcomes. Apply
regression analysis, clustering,
classification, and other modeling
techniques.
Data Visualization: Create
compelling data visualizations to
communicate findings effectively to both
technical and non-technical stakeholders
using tools like Tableau, Power BI, or
Python libraries. Hypothesis Testing:
Formulate and test hypotheses, providing
statistical validation for business
decisions and recommendations.
Feature
Engineering: Engineer and select relevant
features for machine learning models,
enhancing their predictive power.
Algorithm Development: Build and fine-
tune machine learning algorithms, such
as decision trees, random forests, neural
networks, and more, depending on the
specific problem.
Data Integration:
Collaborate with IT and database
administrators to integrate and access
data from various sources and data
warehouses. Model Deployment: Deploy
machine learning models in production
environments to support real-time
decision-making. A/B Testing: Design and
analyze A/B tests to measure the impact
of changes and improvements. Data
Ethics:
Ensure ethical data practices,
including privacy and compliance with
data protection regulations. Cross-
functional Collaboration: Collaborate with
cross-functional teams, including
engineers, business analysts, and domain
experts, to understand business
requirements and align data science
initiatives with organizational goals.
Mentorship:
Provide guidance and
mentorship to junior data scientists and
analysts, fostering their professional
growth. Continuous Learning: Stay
updated on the latest data science tools,
techniques, and trends through ongoing
professional development. Qualifications:
Bachelor's degree in a quantitative field
(e.g., Computer Science, Statistics,
Mathematics, Engineering); a Master's or
Ph.D. is a plus.
5 to 10 years of experience
in data science, including machine
learning and statistical analysis.
Proficiency in data analysis tools and
programming languages such as Python,
R, or Julia. Strong knowledge of machine
learning algorithms and their applications.
Experience with data visualization toolslike Tableau, Power BI, or data
visualization libraries in Python (e.g.,
Matplotlib, Seaborn). Solid understanding
of databases and data manipulation using
SQL. Excellent problem-solving and
critical thinking skills. Strong
communication skills to convey complex
findings and insights to both technical and
non-technical stakeholders. Familiarity
with big data technologies and distributed
computing frameworks is a plus (e.g.,
Hadoop, Spark). Knowledge of data
ethics, privacy, and compliance
considerations.
A Data Scientist with 5 to
10 years of experience is a critical asset to
an organization, capable of transforming
data into actionable insights, building
predictive models, and driving data-driven
decision-making. This role requires a
strong foundation in data science
techniques, programming, and advanced
analytics, as well as the ability to
collaborate with various teams and
mentor junior staff.
Thanks and Regards
Sr. Talent Acquisition Specialist
Pankaj Mishra
*********************************
***************
Data Scientist
Data Scientist Job 223 miles from Savannah
We are seeking a highly skilled and experienced Senior Data Scientist to join our team. In this role, you will support the development and planning of an AI Recommendation Engine proof of concept for a leading telecom customer. You will work closely with your teams to design, develop, and deploy advanced data-driven solutions that enhance customer experience and drive business value.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** .
Skills and Requirements
Education: Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related experience.
Experience: 7+ years of experience in data science, with a focus on machine learning and recommendation systems.
Technical Skills: Proficiency in Python, R, SQL, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Telecom Domain Knowledge: Experience working with telecom data and understanding of telecom industry challenges and opportunities.
Analytical Skills: Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts to diverse audiences.
Team Player: Ability to work effectively in a collaborative, fast-paced environment. null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.
Data Scientist/Data Engineer
Data Scientist Job 223 miles from Savannah
MedZed is re-imagining the house call. Will you innovate with us? MedZed is a fast-paced organization focused on inspiring and enabling better health. MedZed utilizes technology to bring healthcare to complex patients in their homes. Our Tech team is developing and implementing business applications to scale MedZed to be a national player. We are seeking an individual to join our team as a Data Scientist/Data Engineer in a remote capacity. In this role, you will provide process mapping and data analytics to help every area of the company work more efficiently and provide external and internal Service Level Agreement (SLA) reporting.
A successful candidate in this role should be:
* Curious: You enjoy breaking down a problem and examining the interrelationships between data that may appear superficially unrelated.
* Creative: You constantly invent and try new approaches to solving problems that frequently have never been applied in such contexts before.
* Practical: You explore theories with an eye to the real-world application to the business and the potential for improving performance for clients and customers.
* Focused: You're intent on designing and testing a technique over periods of days and weeks, discovering what is successful and what should be optimized further.
* Determined: You embrace both the challenge and opportunity to help design our analytical backend from the ground-up and therefore must be comfortable as both a team member and a leader in our data science effort.
* Technical: You desire to make processes automated, and you're always looking at ways to prevent manual work.
Skills:
* Requirements Gathering: Specifying the capabilities, features or attributes of a projects deliverables. Analyzing the stakeholder needs, wants and wishes to derive the requirements. Establishing consensus and common ground among project stakeholders and participants. Ensuring that the final product has the functionality requested.
* Process Mapping: Defining what a business entity does, who is responsible, to what standard a business process should be completed across multiple functional internal and external areas. Distinguishing how work is actually done from how it should be done and what functions a system should perform from how the system is built to perform those functions. Ability to create process flows using Microsoft Visio or similar tools and propose changes that make the company more efficient.
* Data Analytics: Development of solutions using Excel, and one or more Business Analytics platforms such as Salesforce Analytics, PowerBI, and/or Tableau.
* Data Engineering: Working with the team to automate and allow analytics to run heedlessly as much as possible. In addition, the opportunity to participate in pipeline development is also desired. Proficiencies in SQL, Python, and cloud/devops are desired.
Qualifications
* Bachelor's Degree or equivalent experience required
* 5 years minimum experience as a Data Scientist and/or Data Engineer
* Experience in Agile Environment preferred
* Healthcare industry a plus
* Basic understanding and exposure to Requirement Analysis and User Story development
* Excellent analytical skills with ability to understand complex systems and business processes.
* Excellent written, verbal communication skills & presentation skills with proven ability to influence & persuade internal and external customers.
* Strong collaboration skills, strong team player with ability to work independently when needed.
* Professional with ability to handle confidential information.
* Ability to handle multiple tasks, prioritize and meet deadlines.
* Must have ability to positively handle/manage change, such as high work volume and frequent change in a fast-paced growth organization.
Principal, Data Scientist TO
Data Scientist Job 223 miles from Savannah
The AI/ML Data Scientist at Southern Company is responsible for driving innovation in the development of advanced data-driven solutions. Includes collecting, organizing, mining, and deeply analyzing data to draw conclusions and develop insights that enable better decision-making, automation, and operational effectiveness of Southern Company business units. Data scientists possess a combination of analytical skills, technical expertise, and business acumen in addition to intellectual curiosity that drives their passion to transform raw intelligence into actionable insights that produce desired business outcomes. Going beyond established analytical thinking and problem-solving, the data scientist will apply creativity to unconventional concepts and out-of-the-box solutions. Other skillsets needed in this role include a working knowledge and awareness of mathematical principles and statistics, astute ability to communicate at all levels of the organization, and the ability to monitor industry trends to position Southern Company for future growth and maturity in the data space.
JOB REQUIREMENTS: (Education, Experience, Knowledge, Skills)
Education/Experience:
PhD or Advanced Degree in Computer Science, Data Science, Mathematics, Statistics (Theoretical/Computational), Machine Learning or Artificial Intelligence
Demonstratable expertise in hands-on Machine Learning/Artificial Intelligence solution design, development, and deployment
Proven knowledge of statistical techniques and data science is required
15+ years of experience working in a fast-paced, competitive organization driven by data and enabled by technology
Knowledge/Skills:
Advanced statistical analysis skills including multi-variable data analysis and predictive modeling techniques. Demonstrated skill in supervised, unsupervised and reinforcement learning including but not limited to natural language processing, neural networks, computer vision, Bayesian learning and clustering.
Strong technical competency and programming skills in large-scale data analysis using coding/querying languages including at least one of Python, R, and SQL. Experience with machine learning libraries and frameworks such as Azure Machine Learning, Databricks, Azure Cognitive Services, azure Synapse Analytics, AI Gallery, and/or Notebooks.
Analysis, design, development, test, troubleshooting and documentation of complex systems including several of the following: predictive models, feature extraction, data-driven analysis, application of machine learning algorithms, text mining, decision support, variable selection, and model fit
Knowledge of data migration and integration across datasets and technology platforms
Experience manipulating large datasets and databases with working knowledge of Hadoop or other big data technologies
Extensive knowledge doing Machine Learning and using cloud-native AI services is a plus (Azure preferred).
Deep analytical capability to debug, monitor, and troubleshoot issues with data solutions
Effective communication (verbal/written) and leadership skills to foster enterprise influence on data-driven business decision-making
Ability to transform technical jargon into meaningful business insight at varying levels of the organization
Comprehensive consulting skills with proven ability to work with and influence others
Excellent customer service skills and focus on delivery with a positive attitude
Self-starter with ability to work independently with minimal guidance
Continuous self-learner with perspective on industry trends in the data space
Ability to handle multiple assignments and conflicting priorities
Ability to build productive relationships with a focus on cooperation and teamwork
Job Responsibilities:
Design, develop & deploy AI/ML models, proofs of concept, and innovations, to enable business value
Data Analysis and Interpretation: Analyze large, complex datasets to extract meaningful insights and trends that drive business decisions.
Model Development: Develop and implement sophisticated statistical models and algorithms to address business challenges.
Data Modeling: Design and optimize data models to support various business applications and analytical needs.
Collaborative Projects: Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to integrate models and insights into production systems.
Lead technical teams and resources including contractors to deliver AI/ML solutions at scale, providing technical guidance and mentorship to team members
Consultations: Provide high-level technical estimates & feasibility assessments for intake to enable valuation of ideas
Research and Innovation: Stay abreast of the latest developments in data science, machine learning, and data modeling techniques to continuously improve methodologies and processes.
Documentation and Reporting: Document processes, models, and findings thoroughly to ensure reproducibility and compliance with company standards.
Enterprise enablement and optimization of data science capability: enable the enterprise to optimize data science as a capability through centralized repositories and features, monitoring of performance, and through sharing of best practices and models across operating units through common tools
Core Behavioral Attributes:
The successful candidate will demonstrate understanding and application of the Southern behaviors: Unquestionable Trust, Superior Performance, and Total Commitment.
Additional required behavioral attributes:
Results-oriented
Innovative
Strategic thinker with an enterprise view for sustainable solutions
Committed to continuous learning and improvement
Committed to the development of others
Committed to building and maintaining constructive partnerships with business partners
Works well both independently and with others
Acts with speed and decisiveness
Committed to ethical conduct
Lives and works safely
Data Scientists
Data Scientist Job 223 miles from Savannah
If you love data and are looking for unlimited growth opportunities, we would love to talk with you about joining Further in the near future.
Being a professional services organization, we are always one week away from our next potential deal closing. We love connecting with talented individuals so when that next opportunity is here, we already have you in mind.
Further is a data transformation company that helps organizations use their data with purpose to drive measurable business impact. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat!
DATA SCIENTISTS
What experience should you have:
Proven history of using machine learning techniques to drive business value.
Demonstrated understanding of statistical concepts.
Experience with data preprocessing, feature engineering, and cleaning.
Knowledge of machine learning techniques for predictive modeling.
Proficiency in Python or R for data manipulation, analysis, and modeling.
Basic understanding of marketing concepts and time series data.
What you'll be doing in this role:
Support the alignment to scope, deliverables, and adherence to agreed-upon timelines to ensure the team is achieving business impact goals.
Communicate clearly and effectively with clients in both good and challenging situations.
Actively participate in business development activities, including client pitches, estimating work and creating project plans.
Create trusted partnerships with clients in order to consistently extend and expand our business relationships.
Develop sustainable solutions to share knowledge and experiences within the team.
Build the expertise of our team through mentoring, training, and sharing best practices.
What you'll need to accomplish in your first year:
Develop an understanding of all solutions.
Deliver solutions that drive measurable business impact.
Identify opportunities to bring additional value to our clients.
Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
Data Scientist
Data Scientist Job 223 miles from Savannah
Charter Global is a global Information Technology and Solutions provider with more than 19 years of proven track record in gaining customer confidence. We support our customer needs in Asia-Pacific, Europe and the Americas (North and Latin). Our customers are in a variety of vertical industries: Energy, Finance, Healthcare,
Government, Retail, Fulfillment Logistics, Manufacturing and Telecom.
Charter Global has honed the processes, methodologies, tools and functions to deliver software services via a Global Delivery Model which blends in local and remote resources to get the job done - consistently
Here is the Job details:
Title: Data Scientist
Location: Atlanta, GA / Dallas, TX
Duration: 12+ Months
Job Description:
Ā· Oversees and performs end-top-end data based research. Design data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, leveraging knowledge and a broad understanding of E2E business processes and requirements.
Ā· Defines the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership (segments of the project/engagement). This includes:- Analyzing the data and identifying data sources- Determining appropriate types of data analytics to be performed- Selecting and applying data analysis techniques to ensure that recommendations and predictions provide an adequate level of confidence based on defined coverage criteria- Designing repeatable, verifiable and traceable analytical models
Ā· Identifies and analyses new data analytic directions and their potential business impact to determine the proper prioritization of data analytics activities based on business needs and analytics ROI.
Ā· Identifies data sources, oversees the data collection process and designs the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality.
Ā· Constructs data models (algorithms and formulas) for required business needs and predictions.
Ā· Works closely with content experts and managers to pinpoint queries, map data, and validate results. Maintains and enhances the professional and business relationship with internal stakeholders.
Ā· Facilitates presentations on how to use the data. Offers practical solutions to be used by the end decision makers.
Ā· Presents results, including the preparation of patents and white papers and facilitating presentations during conferences.
Ā· Effectively participates in and/or leads formal and informal reviews with stakeholders, applying knowledge and experience and providing insights from a professional perspective.
Ā· Prepares results in such a way they will be convenient for use. Provides professional support for team members and keeps them informed of assignments/ project status. Provides for training and support for other team members.
Ā· Explores and examines data from multiple sources. The Data Scientist sifts through all incoming data with the goal of discovering previously hidden insights, which, in turn, can provide a competitive advantage or address a pressing business problem. A Data Scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, and then recommends ways to apply the data.
Ā· Participates in technical designs of the wrapped product, which will run the model. Ensures that the model is properly used, that data inputs are supplied correctly and in a timely manner. Verifies that the correct data population is being processed. Ensures that that the output of the model is used correctly and that business objectives are being targeted.
Ā· Participates in the development stages of the wrapped product, including design, development, QA, implementation and production. This is particularly critical when the Development and Implementation teams find it difficult to understand and evaluate the model's objectives and benefits)
Critical Experiences
:
Ā· Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred
Ā· 5 or more years of relevant quantitative and qualitative research and analytics experience
Ā· Solid knowledge of statistical techniques
Ā· The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
Ā· Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), statistical modeling (like SAS or R)
Ā· Experience using machine learning algorithms
Ā· High proficiency in the use of statistical packages
Ā· Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
Ā· Strong communication and interpersonal skills
Ā· Knowledge of telecommunications and of the subject area being investigated - advantage.
Additional Information
Technical Expertise
Data Scientist / Data Analysis big data
Data Scientist Job In Georgia
Fort Elsenhower GA
Requires US Citizenship
Employment Term and Type: Regular, Full Time
Required Security Clearance: TS/SCI with CI POLY
Required Education: B.S. degree
S:
Athena Technology Group, Inc. is a Service-Disabled Veteran Owned /Small Business (SDVOSB) focused on Information Technology and Communications consulting, system engineering, integration, deployment and operations of stat of the art command and control and information systems that deliver critical network centric solutions to the warfighter. With a proven track record of technical support to our customers, we are looking for innovative industry professionals to join our team. Please contact **********************.
JOB DESCRIPTIONS:
Curate and develop a solid data foundation in coordination with the client - structured and unstructured data
Process modeling data and perform robust analytics.
Use online experimentation and other data science methodologies by leveraging Machine Learning (ML), natural language processing, and dynamic network analysis
Exercise creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
Handle processing and index requests against high-volume collections of data and high-velocity data streams.
Required:
Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D. Will consider HS with 16 years of relevant experience.
Capable of building Python scripts and packages that will be used by the data analysts. The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.), and network analysis (social network analysis, centrality analysis, dynamic network analysis).
Must have expertise in maintaining and deploying a notebook-based data science environment (JupyterHub).
Must have experience in advanced Python data science packages (pandas, networkx, scikit-learn, py Torch or TensorFlow/Keras, matplotlib or plotly, etc.).
Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
Active TS/SCI clearance and Polygraph with the ability to obtain and maintain MEAD SIP clearance.
U.S Citizen
Preferred:
Prefer IAM Level I certification.
ATG is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.
Data Scientist-II
Data Scientist Job 223 miles from Savannah
Company Cox Communications, Inc. Job Family Group Data Intelligence & Science Job Profile Data Scientist II Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % No Work Shift Day Compensation Compensation includes a base salary of $87,200.00 - $130,800.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Job Description
Cox Communications is looking for a Data Scientist-II to join the Network Analytics and Reliability team. This role will be responsible for using Cox's data to identify opportunities to optimize processes, tools, and performance. The Data Scientist is required to have strong skills in advanced analytics algorithms, tools, and technologies to enable data-driven decision making for positive finalize impact with Cox.
Responsibilities:
* Identify, research, interpret, catalog, source, manipulate, and enrich Cox Communications' structured and unstructured data assets to facilitate effective analytics.
* Use foundational data science methodologies to identify relationships/drivers of key metrics to improve customer experience, network performance, quality of service, profitability of products, and personalized offerings.
* Build analytics processes for automation, knowledge discovery, decision-making, insights, optimization, monitoring, and new capabilities.
* Prepare documentation, reports, and visualizations to communicate complex data/analyses to non-technical personnel.
* Test new technologies, tools, and data. Keep up-to-date on new technologies, standards and practices.
Qualifications
Minimum:
* Bachelor's degree in a related discipline and 2 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and up to 2 years' experience; or 14 years' experience in a related field
* Strong programming skills and ability to utilize a variety of data/analytic software/languages/tools; e.g., Spark (ML, Mllib, Spark SQL), Python (pandas, numpy, scipy, scikit-learn), SQL, Tableau, etc.
* Experience with writing complex programs in these and/or other environments.
* Strong understanding of the mathematical, optimization, and computational concepts behind advanced analytics algorithms.
* Experience using cloud computing to build analytics applications.
* Strong communication skills. Ability to successfully comprehend and communicate advanced analytics artifacts, business insights, and resulting implications to non-technical business partners. Ability to work in a diverse team.
Preferred:
* Experience in data visualization solutions and data visualization tools.
* 1+ years of experience within telecommunications, cable industry, or high tech.
Benefits
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
About Us
Cox Communications is all about creating moments of real human connection; and for employees, that's true both in the workplace and in the problems we solve for customers. From building advertising solutions to unleashing IoT technologies to creating an exceptional experience for customers in our retail locations and online, we're creating a world that is smarter and more connected. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.
Full Stack Data Scientist
Data Scientist Job 223 miles from Savannah
At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference.
We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers.
As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems.
This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications.
**Responsibilities**
+ Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions.
+ Strong understanding of React components, state management, and lifecycle methods.
+ Ability to build complex and performant user interfaces.
+ Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction.
+ Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments.
+ Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization.
+ Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring.
+ Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage.
+ Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders
+ Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects.
+ Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam.
**Qualifications**
+ Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred.
+ At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred
+ Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL.
+ Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components).
+ Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse
+ Knowledge of clinical domain and datasets.
+ Knowledge of REST, Apigee, Microservices preferred
+ Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques.
+ Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation
+ Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage.
+ Strong mathematical and statistical skills.
+ 2+ years in the Healthcare industry and knowledge of clinical data preferred.
+ Delivery experience with Google Cloud Platform preferred.
+ Agile development skills and experience preferred.
+ Experience designing and developing machine learning and deep learning solutions and systems.
+ Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments.
+ Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape.
+ Experience mining and analyzing large structured and unstructured datasets.
+ Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
+ Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production
+ Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment
+ Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam
+ Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks.
+ Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP)
+ Experience interacting with REST APIs and microservices
+ Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
**What is expected of you and others at this level**
+ Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
+ Recommends new practices, processes, metrics, or models
+ Works on complex projects of large scope projects may have significant and long-term impact
+ Provides solutions which may set precedent
+ Collaborate with stakeholders for completion of new projects
**Anticipated salary range:** $93,500 - $133,600
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
\#LI-Remote
\#LI-AP4
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
Sr. Data Scientist - Machine Learning - Products
Data Scientist Job 223 miles from Savannah
Your work days are brighter here. At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That's why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don't need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
About the Team
Workforce ML team charter is to "Enable the Future of Work with AI and ML". We believe if you do what you love, you'll love what you do. There's a lot to love at Workday. You will be part of a global, high-growth product team to develop the next generation of smart applications used by over 60 million users, representing about ~450 billion transactions a year. You will solve complex business and user interaction problems by improving ML. We operate and function like a startup with a high degree of autonomy and strong sense of total ownership.
About the Role
The team is seeking someone with a strong product mentality and opinions around how ML can drive a better customer experience. You will play a key role in building and deploying data-driven ML solutions that drive smarter products. You will effectively engage with data scientists, ML engineers, PMs and architects in requirements elaboration and drive technical solutions. You must have a mentality of continuous improvement, passion for quality, scale, and security.
About You
What you will do:
* Develop, train, and test ML models to use to address business problems
* Undertake statistical analysis of the results produced and refine the model where requirer
* Experience with data wrangling, preprocessing, and feature engineering, especially with noisy data
* Independently identify ML opportunities and propose solutions to leadership
* Work with engineering teams to implement/refine models while considering functionality for recommendation output;
* Run regular A/B tests, capture data, perform statistical analysis, draw conclusions on the impact of your models
* Proven understanding of machine learning algorithms (supervised, unsupervised) and model evaluation techniques.
Ability to define and track and identify key product metrics.
Excellent communication and teamwork skills.
* Review and choose the best and most appropriate annotated datasets for the best-supervised learning methods
* Use effective text representations to transform natural language into useful features
Basic Qualifications:
* 5 + years of proven experience delivering applied machine learning products, including taking a product through design, implementation, and to production
* 5+ years of developing Machine Learning driven features with Python (including NumPy, SciPy, Pandas, TensorFlow, Pytorch)
Other Qualifications:
* Strong programming skills in Python with proficiency in relevant libraries (pandas, scikit-learn, TensorFlow/PyTorch)
* Familiarity with data technologies (Hadoop, Spark)
* Knowledge of deep learning and NLP techniques
* Experience building Extract Transform Load (ETL) pipelines.
* Experience in designing and crafting experiments, A/B testing and data analysis in the domain of quality metrics for machine learning services
* Experience in analyzing the ML algorithms that could be used to solve a given problems and ranking them by their success probability
* B.A./B.S. in Computer Science, Statistics, Mathematics, or similar
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.
Primary Location: USA.GA.Atlanta
Primary Location Base Pay Range: $168,000 USD - $252,000 USD
Additional US Location(s) Base Pay Range: $159,600 USD - $276,000 USD
Our Approach to Flexible Work
With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
Power BI Data Engineer
Data Scientist Job 33 miles from Savannah
GCyber is seeking a Power BI Data Engineer, to support a large Army customer. The Power BI Data Engineer will be responsible for scripting, data extraction, correlation, and the development of custom automation workflows. As the Power BI Data Engineer, you will:
+ Extract, correlate, and analyze data from cybersecurity tools (e.g., ACAS/Tenable, HBSS/Trellix, MDE/EDR, firewalls) using APIs, custom scripts, and automated connectors.
+ Develop and maintain API integrations and custom Python/PowerShell scripts to securely ingest real-time data into Power BI.
+ Automate the creation of real-time dashboards and reports in Power BI, focusing on key security metrics such as vulnerability management, compliance, and incident trends.
+ Design and maintain dashboards with drill-down capabilities for Executive Leadership and analysts to track compliance, risk, and POA&M status.
+ Provide insights into cybersecurity trends, gaps, and risk assessments through data analysis and periodic reports.
Minimum Qualifications and Experience:
+ Active DoD Active Secret Clearance
+ DoD 8570 IAT II Certification or higher (***************************************************************************
+ 3-5 years of data analytics experience for the DoD, specifically focused on data extraction, integration, and custom dashboard development.
+ Expertise in Python, PowerShell, or Bash for automating data extraction and processing.
+ Strong experience in Power BI dashboard development, including building custom visualizations, integrating APIs, and automating workflows.
+ Ability to develop and manage API integrations for real-time data flow between cybersecurity tools and Power BI.
+ Experience in Power Automate and similar tools for automating security operations and alerts.
+ Previous experience building compliance and vulnerability dashboards preferred.
Our Benefits
GCyber is committed to the well-being and development of every employee. Our benefits are designed to support your personal and professional goals, from health and wellness programs to retirement savings and career development opportunities. Highlights include:
+ 26 Days of Paid Leave + Annual PTO Increase
+ An extra day of paid leave for every year of employment with GCyber
+ Paid Parental Leave
+ Additional Leave Allowances for Military Duty, Jury Duty, and Bereavement Leave
+ 401(k) Matching
+ 100% Company-funded Disability Insurance
+ 90% Company-Funded Health, Dental, and Vision Insurance, with contributions to insurance benefits for spouses, children, and family members
+ Training and Professional Development Plans
+ Commuter Benefits Plan
+ Parking and Transportation Allowance
Equal Opportunity Employer
GCyber is an Equal Opportunity Employer. This means you don't have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.
Stay in Touch
For future job notifications please follow GCyber on LinkedIn. ***********************************
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Data Engineer (MCAS Beaufort)
Data Scientist Job 36 miles from Savannah
š Exciting Opportunity: Data Engineer - Revolutionizing Aerospace with AI/ML! š Job Title: Data Engineer Job Type: Full Time, On-Site
Cutting-Edge AI/ML Projects | Mission-Critical Impact
SteerBridge Strategies is on a mission to transform aerospace supply chain management using AI/ML - and we need YOU to make it happen. If you're a Data Engineer with a passion for innovation, this is your chance to directly impact aircraft readiness and mission success.
š„ Why This Role is a Game-Changer
Imagine a world where aircraft maintenance is predictive, not reactive - where wait times for critical parts are slashed, and mission readiness is never in question. With your expertise in data engineering, we'll make that vision a reality.
šÆ What You'll Do
ā
Lead data transfer operations, build pipelines, and optimize workflows
ā
Manage SQL databases, create indexes, and ensure seamless data access
ā
Utilize Azure Databricks & Data Factory to power AI-driven insights
ā
Automate data processes to streamline squadron-level operations
ā
Support data scientists with clean, organized, and real-time data
š What You Bring to the Table
ā
U.S. Citizen with a Bachelor's in Computer Science (or 6 years of experience)
ā
3+ years of experience managing data and analytics tools
ā
Python, Pandas, PySpark expertise (bonus points for Numpy, Scipy, TensorFlow)
ā
Cloud & API experience (AWS, Azure, Google Cloud, Docker, Redshift)
ā
Object-oriented programming, algorithm design & data optimization skills
š Bonus Points If You Have
š¹ AWS Professional or Specialty Certification (or willingness to obtain)
š¹ Experience with DoD or VA missions
š¹ Machine learning knowledge (Neural Networks, Anomaly Detection)
š¹ Data visualization skills (Tableau, Power BI, Elasticsearch)
š© Apply Today!
This is more than a job - it's a mission. If you're ready to shape the future of aerospace AI/ML, apply now!
SteerBridge Strategies is committed to equal employment opportunity and nondiscrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any characteristic protected under applicable law. SteerBridge Strategies will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law.