POSITION SUMMARY: The Data Scientist is a highly motivated and goal-oriented data scientist, who is instrumental in analyzing and making inferences from large healthcare and omics data sets and is meticulous and detail-oriented. The Data Scientist will have training in statistics, epidemiology, applied mathematics, data science, engineering, or a related quantitative field, and possess some programming skills. The candidate should also be a quick learner, flexible and able to adapt to the needs of the project. ESSENTIAL DUTIES AND RESPONSIBILITIES <ul><li>Design and execution of meticulous and well-thought-out data analysis for generating hypotheses from large omics or healthcare data sets</li><li>Interaction with internal and external collaborators to understand, design, and develop the requested solutions</li><li>Development and execution of advanced and predictive data analytics using big data and data science technology for healthcare innovation and outcomes. Perform analysis using data science techniques on structured and unstructured datasets and develop algorithms for targeted business needs.</li><li>Development and construction of internal analytics tools that extract and analyze data as well as store analytical results in an appropriate format for business needs.</li><li>Conduct exploratory data analysis from complex data sources and build key data sets to support BPGbio's mission.</li><li>Evaluate and design experiments to monitor key metrics and identify improvement opportunities.</li><li>Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns.</li><li>Participate in presentations and communicate the results of research analysis and findings.</li><li>Participate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes.</li><li>Validate and measure the outcomes of health management programs using SAS, R and other tools, to include provider data, claims data, membership data</li><li>Manage multiple projects as assigned and assist with training Data Analysts</li><li>Responsible for development efforts with technical team liaisons, including gathering business requirements, documentation, testing, delivery, and user adoption, and communicate expectations to internal or external stakeholders</li><li>Detailed documentation of data analysis methods and findings</li><li>Other duties, as assigned. </li></ul> REQUIREMENTS: <ul><li>Requires a Master's Degree with 2 years of experience, or a Ph.D. in Statistics, Epidemiology, Applied Mathematics, Computer Science, Data Science or a related field</li><li>Strong skills in statistics and study design. </li><li>Proficiency in R and ability to work in Linux environment are required</li><li>Experience with SQL, Hadoop, Python is preferred</li><li>Proven experience in applying Data Science methodologies to extract, process and transform data from multiple sources</li><li>Proven ability to find creative, practical solutions to complex problems. </li><li>Excellent communication and interpersonal skills combined with superior and proven track record of technical and organizational skills.</li><li>Ability to multitask and work in a team-oriented environment</li><li>Proven ability to demonstrate attention to detail and record keeping </li><li>Experience in the biotech, pharma and/or healthcare industry is a plus</li></ul>

Job Description Staples is business to business. You're what binds us together. Our expanding data science team is at the forefront of developing innovative capabilities within a thriving and extensive e-commerce business. As we continue to push the boundaries of data-driven insights, we are seeking a seasoned Senior Data Scientist to join our dynamic team. In this key role, you will play a pivotal part in shaping the future of our analytics initiatives, leveraging your expertise in advanced statistical methods, machine learning, and artificial intelligence. If you are passionate about driving impactful business solutions through data science and thrive in a collaborative environment, we invite you to be a vital contributor to our exciting journey of transforming data into strategic advantages. What you'll be doing: <ul> <li>Mines and analyzes complex and unstructured data sets using advanced statistical, machine learning and artificial intelligence methods for use in data driven decision making.</li> <li>Performs research, analysis, and modeling on organizational data.</li> <li>Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.</li> <li>May act as a lead.</li> <li>Contribute directly to the development of sophisticated models and the most advanced data science deliverables.</li> <li>Be a thought partner to business leaders regarding the development and application of data science to our business.</li> <li>Work closely with business stakeholders to discover and prioritize the highest-value projects for the Data Science Team.</li> </ul> What you bring to the table: <ul> <li>A quick mind with an outstanding analytical skillset, strategic sense, and business acumen.</li> <li>Enthusiasm for finding innovative and effective solutions to business challenges.</li> <li>A teaching mindset: Eager to share knowledge and impart wisdom to team members and business stakeholders.</li> <li>A learning mindset: Ready to learn about the business, discover new tools and techniques, and expand your skills and knowledge alongside your team.</li> <li>Broad knowledge of data infrastructure and data science development platforms, with real world experience to help guide decisions about these tools.</li> <li>Excellent communication skills. Capable of communicating nuanced business needs to technical experts, and technically challenging topics to business stakeholders.</li> <li>Well-developed project management skills. Track record of leading complex projects to successful completion, and the ability to teach this skill to team members.</li> </ul> What's needed- Basic Qualifications <ul> <li>Bachelor's Degree or equivalent work experience</li> <li>Expertise in Python and familiarity with additional data science languages like R or Scala is a plus.</li> <li>5+ years of experience with deep expertise in the tools and practice of data science, including statistical modelling, machine learning and artificial intelligence, with a proven track record of delivering impactful business solutions.</li> <li>Experience with big data technologies and frameworks (e.g., Spark, Hadoop).</li> <li>Demonstrated ability to lead and mentor junior team members.</li> <li>Proven adeptness in working within a collaborative, cross-functional team environment.</li> </ul> What's needed- Preferred Qualifications: <ul> <li>A master's degree in a quantitative field or equivalent experience in an applied setting.</li> </ul> We Offer: <ul> <li>Inclusive culture with associate-led Business Resource Groups</li> <li>Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays)</li> <li>Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and moreperks and benefits</li> </ul> About Us Staples is an Equal Opportunity Employer who values the diversity of our people, products, and services.

Job Description This exciting new role will be far from a managerial role, and youll be very hands-on and intensely focused on developing advanced time series forecasting models for real-world industry specific initiatives. As a Data Scientist, you will be at the forefront of research and development, focusing on the design, build, train, and deployment of models. Responsibilities <ul><li> Analyze large volumes of time series data and help build n=multi timeseries models to forecast Distribution Center labor needs to avoid being under or overstaffed to ensure high quality of the services. <li> Design, build, test, and implement anomaly detections on time-series data utilizing the latest unsupervised models. <li> Perform experiments and comparative analysis to evaluate the effectiveness of different model architectures and fine-tune hyperparameters for optimal performance. <li> Outstanding communication skills, both written and verbal, to effectively collaborate with internal teams and present solutions to clients. <li> Demonstrated ability to work in a client-facing capacity, understanding their needs and translating them into technical solutions. </ul> Requirements Qualifications <ul><li> PhD or MS in Mathematics, Statistics, Economics, Computer Science or in a related Mathematical or Computational Engineering major (or equivalent research experience) <li> 5+ years of hands-on technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar. <li> At least 5+ years of extensive experience in Time-Series Forecasting and Modeling (Prophet, Neural Prophet, DeepAR, LSTM/RNN, Darts) is required. <li> 8+ years of experience writing and deploying production quality models in languages such as Python. <li> Expert in the evaluation of time series models and back-testing <li> Knowledge of ARIMA, SARIMA, SARIMAX, EWMA, and other time series approaches is desired. <li> Possesses in-depth knowledge and experience in using data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. <li> Experience with Python scripts to drive data science workflows, have experience using SQL, and managing and merging of disparate data sources statistical analysis and data mining algorithms. </ul> Knowledge, Skills, And Abilities <ul><li> Having participated in Kaggle or other DL competitions <li> Relentlessly staying on top of the state-of-the-art AI/ML papers <li> Having had to deploy a model with aggressive inference speed requirements. <li> Outstanding written and verbal communication skills.. </ul> EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 . Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Top 3 requirements 5+ years of hands-on technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar. At least 5+ years of extensive experience in Time-Series Forecasting and Modeling (Prophet, Neural Prophet, DeepAR, LSTM/RNN, Darts) is required. 8+ years of experience writing and deploying production quality models in languages such as Python. Expert in the evaluation of time series models and back-testing PhD or MS in Mathematics, Statistics, Economics, Computer Science or in a related Mathematical or Computational Engineering major (or equivalent research experience) Job Description This exciting new role will be far from a managerial role, and you'll be very hands-on and intensely focused on developing advanced time series forecasting models for real-world industry specific initiatives. As a Data Scientist, you will be at the forefront of research and development, focusing on the design, build, train, and deployment of models. Responsibilities Analyze large volumes of time series data and help build n=multi timeseries models to forecast Distribution Center labor needs to avoid being under or overstaffed to ensure high quality of the services. Design, build, test, and implement anomaly detections on time-series data utilizing the latest unsupervised models. Perform experiments and comparative analysis to evaluate the effectiveness of different model architectures and fine-tune hyperparameters for optimal performance. Outstanding communication skills, both written and verbal, to effectively collaborate with internal teams and present solutions to clients. Demonstrated ability to work in a client-facing capacity, understanding their needs and translating them into technical solutions. Requirements Qualifications: PhD or MS in Mathematics, Statistics, Economics, Computer Science or in a related Mathematical or Computational Engineering major (or equivalent research experience) 5+ years of hands-on technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar. At least 5+ years of extensive experience in Time-Series Forecasting and Modeling (Prophet, Neural Prophet, DeepAR, LSTM/RNN, Darts) is required. 8+ years of experience writing and deploying production quality models in languages such as Python. Expert in the evaluation of time series models and back-testing Knowledge of ARIMA, SARIMA, SARIMAX, EWMA, and other time series approaches is desired. Possesses in-depth knowledge and experience in using data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Experience with Python scripts to drive data science workflows, have experience using SQL, and managing and merging of disparate data sources statistical analysis and data mining algorithms. Knowledge, Skills, And Abilities Having participated in Kaggle or other DL competitions Relentlessly staying on top of the state-of-the-art AI/ML papers Having had to deploy a model with aggressive inference speed requirements. Outstanding written and verbal communication skills. 
 Education: Masters Degree Additional client information:

Data Scientist Jobs in Framingham, MA

Data Scientist
May 21, 2024

Data Scientist
May 11, 2024

Sr Data Scientist I
May 8, 2024

Lead Data Scientist
May 8, 2024

Lead Data Scientist
May 4, 2024

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Data Scientist Jobs in Framingham, MA

Data ScientistMay 21, 2024

Data ScientistMay 11, 2024

Sr Data Scientist IMay 8, 2024

Lead Data ScientistMay 8, 2024

Lead Data ScientistMay 4, 2024